[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"sidebar-data":3,"breadcrumb-conf-2024":849,"workshop-2024-cl4health":850},{"conferences":4,"tutorials":254,"workshops":260},[5,27,47,65,79,96,113,130,147,164,180,195,211,225,240],{"conference_id":6,"year":7,"proceedings_title":8,"venue_ids":9,"isbn":10,"issn":11,"doi":12,"publisher":13,"editors":14,"conference_name":15,"conference_acronym":16,"conference_number":17,"conference_location":18,"conference_city":19,"conference_country":20,"conference_start_date":21,"conference_end_date":22,"conference_url":23,"pdf_url":24,"img_conf_url":25,"paperCount":26},"lrec2026","2026","Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026)","lrec","978-2-493814-49-4","2522-2686","10.63317\u002F4fxzgre27xzj","European Language Resources Association (ELRA)","Stelios Piperidis, Núria Bel, Henk van den Heuvel, Nancy Ide, Simon Krek, Antonio Toral","The Fifteenth Language Resources and Evaluation Conference (LREC 2026)","LREC","15","Palau de Congressos de Palma","Palma, Mallorca","Spain","2026-05-11","2026-05-16","https:\u002F\u002Flrec2026.info","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2026\u002FLREC-2026.pdf",null,944,{"conference_id":28,"year":29,"proceedings_title":30,"venue_ids":31,"isbn":32,"issn":11,"doi":33,"publisher":34,"editors":35,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_city":40,"conference_country":41,"conference_start_date":42,"conference_end_date":43,"conference_url":44,"pdf_url":45,"img_conf_url":25,"paperCount":46},"lrec2024","2024","Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)","lrec|coling","979-10-95546-34-4","10.63317\u002F375ba8vd9q2v","European Language Resources Association (ELRA) and ICCL","Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue","Joint International Conference on Computational Linguistics, Language Resources and Evaluation","LREC-COLING","14","Lingotto Conference Centre","Turin","Italy","2024-05-20","2024-05-25","https:\u002F\u002Flrec-coling-2024.org","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002FLREC-2024.pdf",1554,{"conference_id":48,"year":49,"proceedings_title":50,"venue_ids":9,"isbn":51,"issn":11,"doi":52,"publisher":13,"editors":53,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_city":57,"conference_country":58,"conference_start_date":59,"conference_end_date":60,"conference_url":61,"pdf_url":62,"img_conf_url":63,"paperCount":64},"lrec2022","2022","Proceedings of the Thirteenth International Conference on Language Resources and Evaluation (LREC 2022)","79-10-95546-38-2","10.63317\u002F296vkvmh42ye","Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis2020","Thirteenth Language Resources and Evaluation Conference","13","Palais du Pharo","Marseille","France","2022-06-20","2022-06-25","https:\u002F\u002Flrec2022.lrec-conf.org\u002Fen\u002F","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2022\u002FLREC-2022.pdf","",804,{"conference_id":66,"year":67,"proceedings_title":68,"venue_ids":9,"isbn":69,"issn":11,"doi":70,"publisher":13,"editors":71,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_city":57,"conference_country":58,"conference_start_date":74,"conference_end_date":75,"conference_url":76,"pdf_url":77,"img_conf_url":63,"paperCount":78},"lrec2020","2020","Proceedings of the Twelfth International Conference on Language Resources and Evaluation (LREC 2020)","79-10-95546-34-4","10.63317\u002F4j46u44gnpwr","Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis","Twelfth Language Resources and Evaluation Conference","12","2020-05-11","2020-05-16","https:\u002F\u002Flrec2020.lrec-conf.org\u002Fen\u002Findex.html","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2020\u002FLREC-2020.pdf",895,{"conference_id":80,"year":81,"proceedings_title":82,"venue_ids":9,"isbn":83,"issn":11,"doi":84,"publisher":13,"editors":85,"conference_name":86,"conference_acronym":16,"conference_number":87,"conference_location":88,"conference_city":89,"conference_country":90,"conference_start_date":91,"conference_end_date":92,"conference_url":93,"pdf_url":94,"img_conf_url":63,"paperCount":95},"lrec2018","2018","Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)","79-10-95546-00-9","10.63317\u002F25jzjyk647iz","Nicoletta Calzolari, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Koiti Hasida, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis, Takenobu Tokunaga","Eleventh International Conference on Language Resources and Evaluation","11","Phoenix Seagaia Resort","Miyazaki","Japan","2018-05-07","2018-05-12","http:\u002F\u002Flrec2018.lrec-conf.org\u002Fen\u002F","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2018\u002FLREC2018_Proceedings.zip",728,{"conference_id":97,"year":98,"proceedings_title":99,"venue_ids":9,"isbn":100,"issn":11,"doi":101,"publisher":13,"editors":102,"conference_name":103,"conference_acronym":16,"conference_number":104,"conference_location":105,"conference_city":106,"conference_country":107,"conference_start_date":108,"conference_end_date":109,"conference_url":110,"pdf_url":111,"img_conf_url":63,"paperCount":112},"lrec2016","2016","Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)","978-2-9517408-9-1","10.63317\u002F5mruwrazrwbg","Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asunción Moreno, Jan Odijk, Stelios Piperidis","Tenth International Conference on Language Resources and Evaluation","10","Bernardinsko Naselje","Portorož","Slovenia","2016-05-23","2016-05-28","http:\u002F\u002Flrec2016.lrec-conf.org\u002Fen\u002F","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2016\u002FLREC2016_Proceedings.zip",745,{"conference_id":114,"year":115,"proceedings_title":116,"venue_ids":9,"isbn":117,"issn":11,"doi":118,"publisher":13,"editors":119,"conference_name":120,"conference_acronym":16,"conference_number":121,"conference_location":122,"conference_city":123,"conference_country":124,"conference_start_date":125,"conference_end_date":126,"conference_url":127,"pdf_url":128,"img_conf_url":63,"paperCount":129},"lrec2014","2014","Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC 2014)","978-2-9517408-8-4","10.63317\u002F3ebxpiqq4ikp","Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis","Ninth International Conference on Language Resources and Evaluation","9","Harpa Concert Hall and Conference Centre","Reykjavik","Iceland","2014-05-26","2014-05-31","http:\u002F\u002Flrec2014.lrec-conf.org\u002Fen\u002F","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2014\u002FLREC2014_Proceedings.zip",746,{"conference_id":131,"year":132,"proceedings_title":133,"venue_ids":9,"isbn":134,"issn":11,"doi":135,"publisher":13,"editors":136,"conference_name":137,"conference_acronym":16,"conference_number":138,"conference_location":139,"conference_city":140,"conference_country":141,"conference_start_date":142,"conference_end_date":143,"conference_url":144,"pdf_url":145,"img_conf_url":63,"paperCount":146},"lrec2012","2012","Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC 2012)","978-2-9517408-7-7","10.63317\u002F42za3jv29xvs","Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Mehmet Doğan, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis","Eighth International Conference on Language Resources and Evaluation","8","Istanbul Convention & Exhibition Centre (ICEC) (Lütfi Kırdar)","Istanbul","Turkey","2012-05-21","2012-05-27","http:\u002F\u002Fwww.lrec-conf.org\u002Flrec2012\u002F","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2012\u002FLREC2012_Proceedings.zip",670,{"conference_id":148,"year":149,"proceedings_title":150,"venue_ids":9,"isbn":151,"issn":11,"doi":152,"publisher":13,"editors":153,"conference_name":154,"conference_acronym":16,"conference_number":155,"conference_location":156,"conference_city":157,"conference_country":158,"conference_start_date":159,"conference_end_date":160,"conference_url":161,"pdf_url":162,"img_conf_url":63,"paperCount":163},"lrec2010","2010","Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC 2010)","2-9517408-6-7","10.63317\u002F32m6vov78mmv","Nicoletta Calzolari, Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Mike Rosner, Daniel Tapias","Seventh International Conference on Language Resources and Evaluation","7","Mediterranean Conference Centre (MCC)","Valletta","Malta","2010-05-17","2010-05-23","http:\u002F\u002Fwww.lrec-conf.org\u002Flrec2010\u002F","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2010\u002FLREC2010_Proceedings.zip",645,{"conference_id":165,"year":166,"proceedings_title":167,"venue_ids":9,"isbn":168,"issn":11,"doi":169,"publisher":13,"editors":170,"conference_name":171,"conference_acronym":16,"conference_number":172,"conference_location":173,"conference_city":174,"conference_country":175,"conference_start_date":176,"conference_end_date":177,"conference_url":178,"pdf_url":63,"img_conf_url":63,"paperCount":179},"lrec2008","2008","Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC 2008)","2-9517408-4-0","10.63317\u002F3c6xa89msnta","Nicoletta Calzolari, Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias","Sixth International Conference on Language Resources and Evaluation","6","Palais des Congrès","Marrakech","Morocco","2008-05-28","2008-05-30","http:\u002F\u002Fwww.lrec-conf.org\u002Flrec2008\u002F",620,{"conference_id":181,"year":182,"proceedings_title":183,"venue_ids":9,"isbn":184,"issn":11,"doi":185,"publisher":13,"editors":186,"conference_name":187,"conference_acronym":16,"conference_number":188,"conference_location":189,"conference_city":190,"conference_country":41,"conference_start_date":191,"conference_end_date":192,"conference_url":193,"pdf_url":63,"img_conf_url":63,"paperCount":194},"lrec2006","2006","Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC 2006)","2-9517408-2-4","10.63317\u002F2xx3x75ppppa","Nicoletta Calzolari, Khalid Choukri, Aldo Gangemi, Bente Maegaard, Joseph Mariani, Jan Odijk, Daniel Tapias","Fifth International Conference on Language Resources and Evaluation","5","Magazzini del Cotone","Genoa","2006-05-24","2006-05-26","http:\u002F\u002Fwww.lrec-conf.org\u002Flrec2006\u002F",513,{"conference_id":196,"year":197,"proceedings_title":198,"venue_ids":9,"isbn":199,"issn":11,"doi":200,"publisher":13,"editors":201,"conference_name":202,"conference_acronym":16,"conference_number":203,"conference_location":204,"conference_city":205,"conference_country":206,"conference_start_date":207,"conference_end_date":208,"conference_url":209,"pdf_url":63,"img_conf_url":63,"paperCount":210},"lrec2004","2004","Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC 2004)","2-9517408-1-6","10.63317\u002F2s47745g6zhw","Maria Teresa Lino, Maria Francisca Xavier, Fatima Ferreira, Rute Costa, Raquel Silva","Fourth International Conference on Language Resources and Evaluation","4","Centro Cultural de Belém","Lisbon","Portugal","2004-05-26","2004-05-28","http:\u002F\u002Fwww.lrec-conf.org\u002Flrec2004\u002F",524,{"conference_id":212,"year":213,"proceedings_title":214,"venue_ids":9,"isbn":63,"issn":11,"doi":215,"publisher":13,"editors":216,"conference_name":217,"conference_acronym":16,"conference_number":218,"conference_location":219,"conference_city":220,"conference_country":20,"conference_start_date":221,"conference_end_date":222,"conference_url":223,"pdf_url":63,"img_conf_url":63,"paperCount":224},"lrec2002","2002","Proceedings of the Third International Conference on Language Resources and Evaluation (LREC 2002)","10.63317\u002F3ha6dpna2o97","Manuel González Rodríguez, Carmen Paz Suarez Araujo","Third International Conference on Language Resources and Evaluation","3","Auditorio Alfredo Kraus","Las Palmas","2002-05-29","2002-05-31","http:\u002F\u002Fwww.lrec-conf.org\u002Flrec2002\u002F",354,{"conference_id":226,"year":227,"proceedings_title":228,"venue_ids":9,"isbn":63,"issn":11,"doi":229,"publisher":13,"editors":230,"conference_name":231,"conference_acronym":16,"conference_number":232,"conference_location":233,"conference_city":234,"conference_country":235,"conference_start_date":236,"conference_end_date":237,"conference_url":238,"pdf_url":63,"img_conf_url":63,"paperCount":239},"lrec2000","2000","Proceedings of the Second International Conference on Language Resources and Evaluation (LREC 2000)","10.63317\u002F3yosukd7w6sn","Maria Gavrilidou, George Carayannis, Stella Markantonatou, Stelios Piperidis, Greg Stainhauer","Second International Conference on Language Resources and Evaluation","2","Zappeion Megaron","Athens","Greece","2000-05-31","2000-06-02","http:\u002F\u002Fwww.lrec-conf.org\u002Flrec2000\u002F",280,{"conference_id":241,"year":242,"proceedings_title":243,"venue_ids":9,"isbn":63,"issn":11,"doi":244,"publisher":13,"editors":245,"conference_name":246,"conference_acronym":16,"conference_number":247,"conference_location":248,"conference_city":249,"conference_country":20,"conference_start_date":250,"conference_end_date":251,"conference_url":252,"pdf_url":63,"img_conf_url":63,"paperCount":253},"lrec1998","1998","Proceedings of the First International Conference on Language Resources and Evaluation (LREC 1998)","10.63317\u002F5a986fnjefzm","Antonio Rubio,Natividad Gallardo, Rosa Castro, Antonio Tejada","Language Resources and Evaluation Conference","1","Palacio de Congresos de Granada","Granada","1998-05-28","1998-05-30","http:\u002F\u002Fwww.lrec-conf.org\u002Flrec1998\u002F",212,[255],{"year":29,"proceedings_title":256,"paperCount":257,"doi":258,"pdf_url":259,"venue_ids":31,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024): Tutorial Summaries",13,"10.63317\u002F3piy8jnqffp3","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Ftutorials\u002FLREC-2024-Tutorials.pdf",{"2020":261,"2022":452,"2024":617},[262,269,276,282,289,296,302,308,315,322,328,335,341,348,354,359,364,370,376,382,387,392,397,402,407,413,419,425,431,436,442,447],{"workshop_id":263,"year":67,"full_workshop_id":264,"proceedings_title":265,"paperCount":266,"doi":267,"pdf_url":268,"venue_ids":263,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"aespen","lrec2020_ws_aespen","Proceedings of the Workshop on Automated Extraction of Socio-political Events from News 2020",11,"10.63317\u002F58onsa8rnrrz","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2020\u002Fworkshops\u002FAESPEN2020\u002FAESPEN-2020.pdf",{"workshop_id":270,"year":67,"full_workshop_id":271,"proceedings_title":272,"paperCount":273,"doi":274,"pdf_url":275,"venue_ids":270,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"ai4hi","lrec2020_ws_ai4hi","Proceedings of the 1st International Workshop on Artificial Intelligence for Historical Image Enrichment and Access",5,"10.63317\u002F3m5ep69cw7jj","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2020\u002Fworkshops\u002FAI4HI2020\u002FAI4HI-2020.pdf",{"workshop_id":277,"year":67,"full_workshop_id":278,"proceedings_title":279,"paperCount":266,"doi":280,"pdf_url":281,"venue_ids":277,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"bucc","lrec2020_ws_bucc","Proceedings of the 13th Workshop on Building and Using Comparable Corpora","10.63317\u002F2fx83jms4c9r","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2020\u002Fworkshops\u002FBUCC2020\u002FBUCC-2020.pdf",{"workshop_id":283,"year":67,"full_workshop_id":284,"proceedings_title":285,"paperCount":286,"doi":287,"pdf_url":288,"venue_ids":283,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"calcs","lrec2020_ws_calcs","Proceedings of the 4th Workshop on Computational Approaches to Code Switching",9,"10.63317\u002F3jbxrkvj6qkv","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2020\u002Fworkshops\u002FCS2020\u002FCALCS-2020.pdf",{"workshop_id":290,"year":67,"full_workshop_id":291,"proceedings_title":292,"paperCount":293,"doi":294,"pdf_url":295,"venue_ids":290,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"cllrd","lrec2020_ws_cllrd","Proceedings of the LREC 2020 Workshop on \"Citizen Linguistics in Language Resource Development\"",8,"10.63317\u002F3qo9e6q6vq5f","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2020\u002Fworkshops\u002Fcllrd2020\u002FCLLRD-2020.pdf",{"workshop_id":297,"year":67,"full_workshop_id":298,"proceedings_title":299,"paperCount":266,"doi":300,"pdf_url":301,"venue_ids":297,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"clssts","lrec2020_ws_clssts","Proceedings of the workshop on Cross-Language Search and Summarization of Text and Speech (CLSSTS2020)","10.63317\u002F3p6twmv6mhc5","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2020\u002Fworkshops\u002FCLSSTS2020\u002FCLSSTS-2020.pdf",{"workshop_id":303,"year":67,"full_workshop_id":304,"proceedings_title":305,"paperCount":286,"doi":306,"pdf_url":307,"venue_ids":303,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"cmlc","lrec2020_ws_cmlc","Proceedings of the 8th Workshop on Challenges in the Management of Large Corpora","10.63317\u002F236pt6g4g4s4","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2020\u002Fworkshops\u002FCMLC-8\u002FCMLC-2020.pdf",{"workshop_id":309,"year":67,"full_workshop_id":310,"proceedings_title":311,"paperCount":312,"doi":313,"pdf_url":314,"venue_ids":309,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"computerm","lrec2020_ws_computerm","Proceedings of the 6th International Workshop on Computational Terminology",15,"10.63317\u002F4jp43md9xe2q","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2020\u002Fworkshops\u002FCOMPUTERM2020\u002FCOMPUTERM-2020.pdf",{"workshop_id":316,"year":67,"full_workshop_id":317,"proceedings_title":318,"paperCount":319,"doi":320,"pdf_url":321,"venue_ids":316,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"framenet","lrec2020_ws_framenet","Proceedings of the International FrameNet Workshop 2020: Towards a Global, Multilingual FrameNet",12,"10.63317\u002F4tjynpg2ohf3","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2020\u002Fworkshops\u002Fframenet2020\u002FFrameNet-2020.pdf",{"workshop_id":323,"year":67,"full_workshop_id":324,"proceedings_title":325,"paperCount":319,"doi":326,"pdf_url":327,"venue_ids":323,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"gamnlp","lrec2020_ws_gamnlp","Proceedings of the Workshop on Games and Natural Language Processing","10.63317\u002F5ahttrxdfnza","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2020\u002Fworkshops\u002FGames-NLP\u002FGAMNLP-2020.pdf",{"workshop_id":329,"year":67,"full_workshop_id":330,"proceedings_title":331,"paperCount":332,"doi":333,"pdf_url":334,"venue_ids":329,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"globalex","lrec2020_ws_globalex","Proceedings of the 2020 Globalex Workshop on Linked Lexicography",18,"10.63317\u002F34yjjfrnwvj8","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2020\u002Fworkshops\u002FGLOBALEX2020\u002FGLOBALEX-2020.pdf",{"workshop_id":336,"year":67,"full_workshop_id":337,"proceedings_title":338,"paperCount":319,"doi":339,"pdf_url":340,"venue_ids":336,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"isa","lrec2020_ws_isa","Proceedings of the 16th Joint ACL-ISO Workshop on Interoperable Semantic Annotation","10.63317\u002F5id7rv8izjcd","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2020\u002Fworkshops\u002FISA16\u002FISA-2020.pdf",{"workshop_id":342,"year":67,"full_workshop_id":343,"proceedings_title":344,"paperCount":345,"doi":346,"pdf_url":347,"venue_ids":342,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"iwltp","lrec2020_ws_iwltp","Proceedings of the 1st International Workshop on Language Technology Platforms",17,"10.63317\u002F4hc34do825yz","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2020\u002Fworkshops\u002FIWLTP2020\u002FIWLTP-2020.pdf",{"workshop_id":349,"year":67,"full_workshop_id":350,"proceedings_title":351,"paperCount":319,"doi":352,"pdf_url":353,"venue_ids":349,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"ldl","lrec2020_ws_ldl","Proceedings of the 7th Workshop on Linked Data in Linguistics (LDL-2020)","10.63317\u002F3mn9ttzvdbxs","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2020\u002Fworkshops\u002FLDL2020\u002FLDL-2020.pdf",{"workshop_id":355,"year":67,"full_workshop_id":356,"proceedings_title":357,"paperCount":293,"doi":358,"pdf_url":63,"venue_ids":355,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"lincr","lrec2020_ws_lincr","Proceedings of the Second Workshop on Linguistic and Neurocognitive Resources","10.63317\u002F24gnv8q9cz94",{"workshop_id":360,"year":67,"full_workshop_id":361,"proceedings_title":362,"paperCount":286,"doi":363,"pdf_url":63,"venue_ids":360,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"lr4sshoc","lrec2020_ws_lr4sshoc","Proceedings of the Workshop about Language Resources for the SSH Cloud","10.63317\u002F5j7vesdm7yia",{"workshop_id":365,"year":67,"full_workshop_id":366,"proceedings_title":367,"paperCount":368,"doi":369,"pdf_url":63,"venue_ids":365,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"lt4gov","lrec2020_ws_lt4gov","Proceedings of the 1st Workshop on Language Technologies for Government and Public Administration (LT4Gov)",6,"10.63317\u002F5i8su82ish3i",{"workshop_id":371,"year":67,"full_workshop_id":372,"proceedings_title":373,"paperCount":374,"doi":375,"pdf_url":63,"venue_ids":371,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"lt4hala","lrec2020_ws_lt4hala","Proceedings of LT4HALA 2020 - 1st Workshop on Language Technologies for Historical and Ancient Languages",21,"10.63317\u002F4jnfg39ctsra",{"workshop_id":377,"year":67,"full_workshop_id":378,"proceedings_title":379,"paperCount":380,"doi":381,"pdf_url":63,"venue_ids":377,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"mmw","lrec2020_ws_mmw","Proceedings of the LREC 2020 Workshop on Multimodal Wordnets (MMW2020)",7,"10.63317\u002F5pcp4c88d6n8",{"workshop_id":383,"year":67,"full_workshop_id":384,"proceedings_title":385,"paperCount":368,"doi":386,"pdf_url":63,"venue_ids":383,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"multilingualbio","lrec2020_ws_multilingualbio","Proceedings of the LREC 2020 Workshop on Multilingual Biomedical Text Processing (MultilingualBIO 2020)","10.63317\u002F4pfckaywoxxa",{"workshop_id":388,"year":67,"full_workshop_id":389,"proceedings_title":390,"paperCount":273,"doi":391,"pdf_url":63,"venue_ids":388,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"onion","lrec2020_ws_onion","Proceedings of LREC2020 Workshop \"People in language, vision and the mind\" (ONION2020)","10.63317\u002F2oxdsr8tue27",{"workshop_id":393,"year":67,"full_workshop_id":394,"proceedings_title":395,"paperCount":332,"doi":396,"pdf_url":63,"venue_ids":393,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"osact","lrec2020_ws_osact","Proceedings of the 4th Workshop on Open-Source Arabic Corpora and Processing Tools, with a Shared Task on Offensive Language Detection","10.63317\u002F2xjmcg9vsxcp",{"workshop_id":398,"year":67,"full_workshop_id":399,"proceedings_title":400,"paperCount":257,"doi":401,"pdf_url":63,"venue_ids":398,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"parlaclarin","lrec2020_ws_parlaclarin","Proceedings of the Second ParlaCLARIN Workshop","10.63317\u002F3qhkh6dmemmn",{"workshop_id":403,"year":67,"full_workshop_id":404,"proceedings_title":405,"paperCount":286,"doi":406,"pdf_url":63,"venue_ids":403,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"rail","lrec2020_ws_rail","Proceedings of the first workshop on Resources for African Indigenous Languages","10.63317\u002F3fjhbkudhcmc",{"workshop_id":408,"year":67,"full_workshop_id":409,"proceedings_title":410,"paperCount":411,"doi":412,"pdf_url":63,"venue_ids":408,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"readi","lrec2020_ws_readi","Proceedings of the 1st Workshop on Tools and Resources to Empower People with REAding DIfficulties (READI)",14,"10.63317\u002F4p5m2euxriim",{"workshop_id":414,"year":67,"full_workshop_id":415,"proceedings_title":416,"paperCount":417,"doi":418,"pdf_url":63,"venue_ids":414,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"restup","lrec2020_ws_restup","Proceedings of the Workshop on Resources and Techniques for User and Author Profiling in Abusive Language",4,"10.63317\u002F3y3vzhsp3qb7",{"workshop_id":420,"year":67,"full_workshop_id":421,"proceedings_title":422,"paperCount":423,"doi":424,"pdf_url":63,"venue_ids":420,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"signlang","lrec2020_ws_signlang","Proceedings of the LREC2020 9th Workshop on the Representation and Processing of Sign Languages: Sign Language Resources in the Service of the Language Community, Technological Challenges and Application Perspectives",36,"10.63317\u002F3nocn9xntuki",{"workshop_id":426,"year":67,"full_workshop_id":427,"proceedings_title":428,"paperCount":429,"doi":430,"pdf_url":63,"venue_ids":426,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"sltu","lrec2020_ws_sltu","Proceedings of the 1st Joint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL)",52,"10.63317\u002F25p2yts6fk3q",{"workshop_id":432,"year":67,"full_workshop_id":433,"proceedings_title":434,"paperCount":293,"doi":435,"pdf_url":63,"venue_ids":432,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"stoc","lrec2020_ws_stoc","Proceedings for the First International Workshop on Social Threats in Online Conversations: Understanding and Management","10.63317\u002F4p7j6t9bjg8m",{"workshop_id":437,"year":67,"full_workshop_id":438,"proceedings_title":439,"paperCount":440,"doi":441,"pdf_url":63,"venue_ids":437,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"trac","lrec2020_ws_trac","Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying",25,"10.63317\u002F27yyhn22v2fc",{"workshop_id":443,"year":67,"full_workshop_id":444,"proceedings_title":445,"paperCount":293,"doi":446,"pdf_url":63,"venue_ids":443,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"wac","lrec2020_ws_wac","Proceedings of the 12th Web as Corpus Workshop","10.63317\u002F2va68regv5ni",{"workshop_id":448,"year":67,"full_workshop_id":449,"proceedings_title":450,"paperCount":319,"doi":451,"pdf_url":63,"venue_ids":448,"publisher":13,"editor":63,"conference_name":72,"conference_acronym":16,"conference_number":73,"conference_location":56,"conference_start_date":74,"conference_end_date":75},"wildre","lrec2020_ws_wildre","Proceedings of the WILDRE5– 5th Workshop on Indian Language Data: Resources and Evaluation","10.63317\u002F2ydivss2veo9",[453,458,463,467,472,478,483,488,494,499,504,509,514,520,525,530,535,540,545,550,554,559,564,569,573,577,582,587,593,598,603,608,613],{"workshop_id":277,"year":49,"full_workshop_id":454,"proceedings_title":455,"paperCount":286,"doi":456,"pdf_url":457,"venue_ids":277,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"lrec2022_ws_bucc","Proceedings of the BUCC Workshop within LREC 2022","10.63317\u002F2mqwgvrp7zkn","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec2022\u002Fworkshops\u002FBUCC\u002F2022.bucc-1.0.pdf",{"workshop_id":459,"year":49,"full_workshop_id":460,"proceedings_title":461,"paperCount":332,"doi":462,"pdf_url":63,"venue_ids":459,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"cltw","lrec2022_ws_cltw","Proceedings of the 4th Celtic Language Technology Workshop within LREC2022","10.63317\u002F3x8fjtq6m25s",{"workshop_id":303,"year":49,"full_workshop_id":464,"proceedings_title":465,"paperCount":368,"doi":466,"pdf_url":63,"venue_ids":303,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"lrec2022_ws_cmlc","Proceedings of the Workshop on Challenges in the Management of Large Corpora (CMLC-10)","10.63317\u002F2ajestpwy3c8",{"workshop_id":468,"year":49,"full_workshop_id":469,"proceedings_title":470,"paperCount":293,"doi":471,"pdf_url":63,"venue_ids":468,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"csrnlp","lrec2022_ws_csrnlp","Proceedings of the First Computing Social Responsibility Workshop within the 13th Language Resources and Evaluation Conference","10.63317\u002F3xphwxosghv8",{"workshop_id":473,"year":49,"full_workshop_id":474,"proceedings_title":475,"paperCount":476,"doi":477,"pdf_url":63,"venue_ids":473,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"dclrl","lrec2022_ws_dclrl","Proceedings of the Workshop on Dataset Creation for Lower-Resourced Languages within the 13th Language Resources and Evaluation Conference",10,"10.63317\u002F4652bsvzarmy",{"workshop_id":479,"year":49,"full_workshop_id":480,"proceedings_title":481,"paperCount":368,"doi":482,"pdf_url":63,"venue_ids":479,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"digitam","lrec2022_ws_digitam","Proceedings of the Workshop on Processing Language Variation: Digital Armenian (DigitAm) within the 13th Language Resources and Evaluation Conference","10.63317\u002F369nz2tcm6qc",{"workshop_id":484,"year":49,"full_workshop_id":485,"proceedings_title":486,"paperCount":332,"doi":487,"pdf_url":63,"venue_ids":484,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"eurali","lrec2022_ws_eurali","Proceedings of the Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia within the 13th Language Resources and Evaluation Conference","10.63317\u002F4dhjcavy7q7y",{"workshop_id":489,"year":49,"full_workshop_id":490,"proceedings_title":491,"paperCount":492,"doi":493,"pdf_url":63,"venue_ids":489,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"fnp","lrec2022_ws_fnp","Proceedings of the 4th Financial Narrative Processing Workshop @LREC2022",24,"10.63317\u002F29xpoafy85p4",{"workshop_id":495,"year":49,"full_workshop_id":496,"proceedings_title":497,"paperCount":380,"doi":498,"pdf_url":63,"venue_ids":495,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"games","lrec2022_ws_games","Proceedings of the 9th Workshop on Games and Natural Language Processing within the 13th Language Resources and Evaluation Conference","10.63317\u002F5om6f5meam4s",{"workshop_id":500,"year":49,"full_workshop_id":501,"proceedings_title":502,"paperCount":257,"doi":503,"pdf_url":63,"venue_ids":500,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"gwll","lrec2022_ws_gwll","Proceedings of Globalex Workshop on Linked Lexicography within the 13th Language Resources and Evaluation Conference","10.63317\u002F5knvvemaz9uw",{"workshop_id":336,"year":49,"full_workshop_id":505,"proceedings_title":506,"paperCount":507,"doi":508,"pdf_url":63,"venue_ids":336,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"lrec2022_ws_isa","Proceedings of the 18th Joint ACL - ISO Workshop on Interoperable Semantic Annotation within LREC2022",19,"10.63317\u002F4h3ue6m3sam4",{"workshop_id":510,"year":49,"full_workshop_id":511,"proceedings_title":512,"paperCount":368,"doi":513,"pdf_url":63,"venue_ids":510,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"lateraisse","lrec2022_ws_lateraisse","Proceedings of the First Workshop on Language Technology and Resources for a Fair, Inclusive, and Safe Society within the 13th Language Resources and Evaluation Conference","10.63317\u002F5osn5jjjbomp",{"workshop_id":515,"year":49,"full_workshop_id":516,"proceedings_title":517,"paperCount":518,"doi":519,"pdf_url":63,"venue_ids":515,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"law","lrec2022_ws_law","Proceedings of the 16th Linguistic Annotation Workshop (LAW-XVI) within LREC2022",20,"10.63317\u002F3fysdho22dbb",{"workshop_id":521,"year":49,"full_workshop_id":522,"proceedings_title":523,"paperCount":312,"doi":524,"pdf_url":63,"venue_ids":521,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"legal","lrec2022_ws_legal","Proceedings of the Workshop on Ethical and Legal Issues in Human Language Technologies and Multilingual De-Identification of Sensitive Data In Language Resources within the 13th Language Resources and Evaluation Conference","10.63317\u002F273whfjsjapd",{"workshop_id":371,"year":49,"full_workshop_id":526,"proceedings_title":527,"paperCount":528,"doi":529,"pdf_url":63,"venue_ids":371,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"lrec2022_ws_lt4hala","Proceedings of the Second Workshop on Language Technologies for Historical and Ancient Languages",31,"10.63317\u002F3dte53mz4zvu",{"workshop_id":531,"year":49,"full_workshop_id":532,"proceedings_title":533,"paperCount":345,"doi":534,"pdf_url":63,"venue_ids":531,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"mwe","lrec2022_ws_mwe","Proceedings of the 18th Workshop on Multiword Expressions @LREC2022","10.63317\u002F2fftdmypb747",{"workshop_id":536,"year":49,"full_workshop_id":537,"proceedings_title":538,"paperCount":286,"doi":539,"pdf_url":63,"venue_ids":536,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"nidcp","lrec2022_ws_nidcp","Proceedings of the 2nd Workshop on Novel Incentives in Data Collection from People: models, implementations, challenges and results within LREC 2022","10.63317\u002F2dox4kgfq3mg",{"workshop_id":541,"year":49,"full_workshop_id":542,"proceedings_title":543,"paperCount":312,"doi":544,"pdf_url":63,"venue_ids":541,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"nlperspectives","lrec2022_ws_nlperspectives","Proceedings of the 1st Workshop on Perspectivist Approaches to NLP @LREC2022","10.63317\u002F5nzs42fwjimz",{"workshop_id":393,"year":49,"full_workshop_id":546,"proceedings_title":547,"paperCount":548,"doi":549,"pdf_url":63,"venue_ids":393,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"lrec2022_ws_osact","Proceedinsg of the 5th Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks on Qur'an QA and Fine-Grained Hate Speech Detection",28,"10.63317\u002F4u4quhegagc5",{"workshop_id":398,"year":49,"full_workshop_id":551,"proceedings_title":552,"paperCount":507,"doi":553,"pdf_url":63,"venue_ids":398,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"lrec2022_ws_parlaclarin","Proceedings of the Workshop ParlaCLARIN III within the 13th Language Resources and Evaluation Conference","10.63317\u002F4zzb69hz9ebb",{"workshop_id":555,"year":49,"full_workshop_id":556,"proceedings_title":557,"paperCount":411,"doi":558,"pdf_url":63,"venue_ids":555,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"politicalnlp","lrec2022_ws_politicalnlp","Proceedings of the LREC 2022 workshop on Natural Language Processing for Political Sciences","10.63317\u002F5h778npybpti",{"workshop_id":560,"year":49,"full_workshop_id":561,"proceedings_title":562,"paperCount":368,"doi":563,"pdf_url":63,"venue_ids":560,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"pvlam","lrec2022_ws_pvlam","Proceedings of the 2nd Workshop on People in Vision, Language, and the Mind","10.63317\u002F52rissdzp475",{"workshop_id":565,"year":49,"full_workshop_id":566,"proceedings_title":567,"paperCount":319,"doi":568,"pdf_url":63,"venue_ids":565,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"rapid","lrec2022_ws_rapid","Proceedings of the RaPID Workshop - Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive\u002Fpsychiatric\u002Fdevelopmental impairments - within the 13th Language Resources and Evaluation Conference","10.63317\u002F4jch25mm92pa",{"workshop_id":408,"year":49,"full_workshop_id":570,"proceedings_title":571,"paperCount":286,"doi":572,"pdf_url":63,"venue_ids":408,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"lrec2022_ws_readi","Proceedings of the 2nd Workshop on Tools and Resources to Empower People with REAding DIfficulties (READI) within the 13th Language Resources and Evaluation Conference","10.63317\u002F56pm6ipunttk",{"workshop_id":414,"year":49,"full_workshop_id":574,"proceedings_title":575,"paperCount":417,"doi":576,"pdf_url":63,"venue_ids":414,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"lrec2022_ws_restup","Proceedings of the Second International Workshop on Resources and Techniques for User Information in Abusive Language Analysis","10.63317\u002F53due7cg7w44",{"workshop_id":578,"year":49,"full_workshop_id":579,"proceedings_title":580,"paperCount":368,"doi":581,"pdf_url":63,"venue_ids":578,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"salld","lrec2022_ws_salld","Proceedings of the 2nd Workshop on Sentiment Analysis and Linguistic Linked Data","10.63317\u002F2ueor4yvpz4s",{"workshop_id":420,"year":49,"full_workshop_id":583,"proceedings_title":584,"paperCount":585,"doi":586,"pdf_url":63,"venue_ids":420,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"lrec2022_ws_signlang","Proceedings of the LREC2022 10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources",32,"10.63317\u002F2rifm6bf4efz",{"workshop_id":588,"year":49,"full_workshop_id":589,"proceedings_title":590,"paperCount":591,"doi":592,"pdf_url":63,"venue_ids":588,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"sigul","lrec2022_ws_sigul","Proceedings of the 1st Annual Meeting of the ELRA\u002FISCA Special Interest Group on Under-Resourced Languages",27,"10.63317\u002F5nb3qu29q9zi",{"workshop_id":594,"year":49,"full_workshop_id":595,"proceedings_title":596,"paperCount":507,"doi":597,"pdf_url":63,"venue_ids":594,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"sltat","lrec2022_ws_sltat","Proceedings of the 7th International Workshop on Sign Language Translation and Avatar Technology: The Junction of the Visual and the Textual: Challenges and Perspectives","10.63317\u002F3xfoevzar6ig",{"workshop_id":599,"year":49,"full_workshop_id":600,"proceedings_title":601,"paperCount":476,"doi":602,"pdf_url":63,"venue_ids":599,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"smila","lrec2022_ws_smila","Proceedings of the Workshop on Smiling and Laughter across Contexts and the Life-span within the 13th Language Resources and Evaluation Conference","10.63317\u002F47g2oou8nqdu",{"workshop_id":604,"year":49,"full_workshop_id":605,"proceedings_title":606,"paperCount":368,"doi":607,"pdf_url":63,"venue_ids":604,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"tdle","lrec2022_ws_tdle","Proceedings of the Workshop Towards Digital Language Equality within the 13th Language Resources and Evaluation Conference","10.63317\u002F3cx3opcocn9i",{"workshop_id":609,"year":49,"full_workshop_id":610,"proceedings_title":611,"paperCount":380,"doi":612,"pdf_url":63,"venue_ids":609,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"term","lrec2022_ws_term","Proceedings of the Workshop on Terminology in the 21st century: many faces, many places","10.63317\u002F23pdrqa3onr3",{"workshop_id":448,"year":49,"full_workshop_id":614,"proceedings_title":615,"paperCount":345,"doi":616,"pdf_url":63,"venue_ids":448,"publisher":13,"editor":63,"conference_name":54,"conference_acronym":16,"conference_number":55,"conference_location":56,"conference_start_date":59,"conference_end_date":60},"lrec2022_ws_wildre","Proceedings of the WILDRE-6 Workshop within the 13th Language Resources and Evaluation Conference","10.63317\u002F34agbocrmxe4",[618,623,630,638,644,649,656,663,670,677,683,690,696,703,711,717,723,729,735,742,748,755,762,768,774,780,786,792,798,805,812,818,825,831,837,843],{"workshop_id":277,"year":29,"full_workshop_id":619,"proceedings_title":620,"paperCount":312,"doi":621,"pdf_url":622,"venue_ids":277,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"lrec2024_ws_bucc","Proceedings of the 17th Workshop on Building and Using Comparable Corpora (BUCC) @ LREC-COLING 2024","10.63317\u002F3tk8bqt3knqn","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fbucc\u002F2024.bucc-1.0.pdf",{"workshop_id":624,"year":29,"full_workshop_id":625,"proceedings_title":626,"paperCount":293,"doi":627,"pdf_url":628,"venue_ids":629,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"cawl","lrec2024_ws_cawl","Proceedings of the Second Workshop on Computation and Written Language (CAWL) @ LREC-COLING 2024","10.63317\u002F5jv5da4ct2px","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fcawl\u002F2024.cawl-1.0.pdf","cawl|ws",{"workshop_id":631,"year":29,"full_workshop_id":632,"proceedings_title":633,"paperCount":634,"doi":635,"pdf_url":636,"venue_ids":637,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"cl4health","lrec2024_ws_cl4health","Proceedings of the First Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC-COLING 2024",33,"10.63317\u002F3keuurbv54de","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002F2024.cl4health-1.0.pdf","cl4health|ws",{"workshop_id":639,"year":29,"full_workshop_id":640,"proceedings_title":641,"paperCount":507,"doi":642,"pdf_url":643,"venue_ids":639,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"cogalex","lrec2024_ws_cogalex","Proceedings of the Workshop on Cognitive Aspects of the Lexicon @ LREC-COLING 2024","10.63317\u002F2gq7359pqznx","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fdelite\u002F2024.delite-1.0.pdf",{"workshop_id":645,"year":29,"full_workshop_id":646,"proceedings_title":647,"paperCount":380,"doi":648,"pdf_url":643,"venue_ids":645,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"delite","lrec2024_ws_delite","Proceedings of the First Workshop on Language-driven Deliberation Technology (DELITE) @ LREC-COLING 2024","10.63317\u002F3pcpupr4j9wb",{"workshop_id":650,"year":29,"full_workshop_id":651,"proceedings_title":652,"paperCount":332,"doi":653,"pdf_url":654,"venue_ids":655,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"determit","lrec2024_ws_determit","Proceedings of the Workshop on DeTermIt! Evaluating Text Difficulty in a Multilingual Context @ LREC-COLING 2024","10.63317\u002F32qtrrr46eau","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fdetermit\u002F2024.determit-1.0.pdf","determit|ws",{"workshop_id":657,"year":29,"full_workshop_id":658,"proceedings_title":659,"paperCount":293,"doi":660,"pdf_url":661,"venue_ids":662,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"dlnld","lrec2024_ws_dlnld","Proceedings of the Workshop on Deep Learning and Linked Data (DLnLD) @ LREC-COLING 2024","10.63317\u002F543pjjgkbst9","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fdlnld\u002F2024.dlnld-1.0.pdf","dlnld|ws",{"workshop_id":664,"year":29,"full_workshop_id":665,"proceedings_title":666,"paperCount":345,"doi":667,"pdf_url":668,"venue_ids":669,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"dmr","lrec2024_ws_dmr","Proceedings of the Fifth International Workshop on Designing Meaning Representations @ LREC-COLING 2024","10.63317\u002F5q4wbidauaxn","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fdmr\u002F2024.dmr-1.0.pdf","dmr|ws",{"workshop_id":671,"year":29,"full_workshop_id":672,"proceedings_title":673,"paperCount":312,"doi":674,"pdf_url":675,"venue_ids":676,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"ecnlp","lrec2024_ws_ecnlp","Proceedings of the Seventh Workshop on e-Commerce and NLP @ LREC-COLING 2024","10.63317\u002F4upp3i6m57nt","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fecnlp\u002F2024.ecnlp-1.0.pdf","ecnlp|ws",{"workshop_id":484,"year":29,"full_workshop_id":678,"proceedings_title":679,"paperCount":293,"doi":680,"pdf_url":681,"venue_ids":682,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"lrec2024_ws_eurali","Proceedings of the 2nd Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia (EURALI) @ LREC-COLING 2024","10.63317\u002F3z633pd4tyg2","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Feurali\u002F2024.eurali-1.0.pdf","eurali|ws",{"workshop_id":684,"year":29,"full_workshop_id":685,"proceedings_title":686,"paperCount":687,"doi":688,"pdf_url":689,"venue_ids":684,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"finnlp","lrec2024_ws_finnlp","Proceedings of the Joint Workshop of the 7th Financial Technology and Natural Language Processing, the 5th Knowledge Discovery from Unstructured Data in Financial Services, and the 4th Workshop on Economics and Natural Language Processing",34,"10.63317\u002F46uvxxoj8prq","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Ffinnlp\u002F2024.finnlp-1.0.pdf",{"workshop_id":495,"year":29,"full_workshop_id":691,"proceedings_title":692,"paperCount":319,"doi":693,"pdf_url":694,"venue_ids":695,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"lrec2024_ws_games","Proceedings of the 10th Workshop on Games and Natural Language Processing @ LREC-COLING 2024","10.63317\u002F4d46836qy76p","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fgames\u002F2024.games-1.0.pdf","games|ws",{"workshop_id":697,"year":29,"full_workshop_id":698,"proceedings_title":699,"paperCount":286,"doi":700,"pdf_url":701,"venue_ids":702,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"htres","lrec2024_ws_htres","Proceedings of the First Workshop on Holocaust Testimonies as Language Resources (HTRes) @ LREC-COLING 2024","10.63317\u002F47iakwwytvs8","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fhtres\u002F2024.htres-1.0.pdf","htres|ws",{"workshop_id":704,"year":29,"full_workshop_id":705,"proceedings_title":706,"paperCount":707,"doi":708,"pdf_url":709,"venue_ids":710,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"humeval","lrec2024_ws_humeval","Proceedings of the Fourth Workshop on Human Evaluation of NLP Systems (HumEval) @ LREC-COLING 2024",26,"10.63317\u002F3jfrug2yvkgc","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fhumeval\u002F2024.humeval-1.0.pdf","humeval|ws",{"workshop_id":336,"year":29,"full_workshop_id":712,"proceedings_title":713,"paperCount":332,"doi":714,"pdf_url":715,"venue_ids":716,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"lrec2024_ws_isa","Proceedings of the 20th Joint ACL - ISO Workshop on Interoperable Semantic Annotation @ LREC-COLING 2024","10.63317\u002F5g5ddg8i3y47","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fisa\u002F2024.isa-1.0.pdf","isa|ws",{"workshop_id":349,"year":29,"full_workshop_id":718,"proceedings_title":719,"paperCount":312,"doi":720,"pdf_url":721,"venue_ids":722,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"lrec2024_ws_ldl","Proceedings of the 9th Workshop on Linked Data in Linguistics @ LREC-COLING 2024","10.63317\u002F4gz96nfw2gdk","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fldl\u002F2024.ldl-1.0.pdf","ldl|ws",{"workshop_id":521,"year":29,"full_workshop_id":724,"proceedings_title":725,"paperCount":266,"doi":726,"pdf_url":727,"venue_ids":728,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"lrec2024_ws_legal","Proceedings of the Workshop on Legal and Ethical Issues in Human Language Technologies @ LREC-COLING 2024","10.63317\u002F2wkziwv5fb97","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Flegal\u002F2024.legal-1.0.pdf","legal|ws",{"workshop_id":371,"year":29,"full_workshop_id":730,"proceedings_title":731,"paperCount":634,"doi":732,"pdf_url":733,"venue_ids":734,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"lrec2024_ws_lt4hala","Proceedings of the Third Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA) @ LREC-COLING-2024","10.63317\u002F2vavxjcscp8z","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Flt4hala\u002F2024.lt4hala-1.0.pdf","lt4hala|ws",{"workshop_id":736,"year":29,"full_workshop_id":737,"proceedings_title":738,"paperCount":273,"doi":739,"pdf_url":740,"venue_ids":741,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"mathnlp","lrec2024_ws_mathnlp","Proceedings of the 2nd Workshop on Mathematical Natural Language Processing @ LREC-COLING 2024","10.63317\u002F2ydwrzo67zpj","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fmathnlp\u002F2024.mathnlp-1.0.pdf","mathnlp|ws",{"workshop_id":531,"year":29,"full_workshop_id":743,"proceedings_title":744,"paperCount":591,"doi":745,"pdf_url":746,"venue_ids":747,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"lrec2024_ws_mwe","Proceedings of the Joint Workshop on Multiword Expressions and Universal Dependencies (MWE-UD) @ LREC-COLING 2024","10.63317\u002F42csaq87z39r","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fmwe\u002F2024.mweud-1.0.pdf","mwe|udw|ws",{"workshop_id":749,"year":29,"full_workshop_id":750,"proceedings_title":751,"paperCount":273,"doi":752,"pdf_url":753,"venue_ids":754,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"neusymbridge","lrec2024_ws_neusymbridge","Proceedings of the Workshop: Bridging Neurons and Symbols for Natural Language Processing and Knowledge Graphs Reasoning (NeusymBridge) @ LREC-COLING-2024","10.63317\u002F2vsheftp3ti9","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fneusymbridge\u002F2024.neusymbridge-1.0.pdf","neusymbridge|ws",{"workshop_id":541,"year":29,"full_workshop_id":756,"proceedings_title":757,"paperCount":758,"doi":759,"pdf_url":760,"venue_ids":761,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"lrec2024_ws_nlperspectives","Proceedings of the 3rd Workshop on Perspectivist Approaches to NLP (NLPerspectives) @ LREC-COLING 2024",16,"10.63317\u002F2cojnfknheph","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fnlperspectives\u002F2024.nlperspectives-1.0.pdf","nlperspectives|ws",{"workshop_id":393,"year":29,"full_workshop_id":763,"proceedings_title":764,"paperCount":345,"doi":765,"pdf_url":766,"venue_ids":767,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"lrec2024_ws_osact","Proceedings of the 6th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT) with Shared Tasks on Arabic LLMs Hallucination and Dialect to MSA Machine Translation @ LREC-COLING 2024","10.63317\u002F5d5qxytkajay","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fosact\u002F2024.osact-1.0.pdf","osact|ws",{"workshop_id":398,"year":29,"full_workshop_id":769,"proceedings_title":770,"paperCount":440,"doi":771,"pdf_url":772,"venue_ids":773,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"lrec2024_ws_parlaclarin","Proceedings of the IV Workshop on Creating, Analysing, and Increasing Accessibility of Parliamentary Corpora (ParlaCLARIN) @ LREC-COLING 2024","10.63317\u002F46c8xka7m8f7","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fparlaclarin\u002F2024.parlaclarin-1.0.pdf","parlaclarin|ws",{"workshop_id":555,"year":29,"full_workshop_id":775,"proceedings_title":776,"paperCount":476,"doi":777,"pdf_url":778,"venue_ids":779,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"lrec2024_ws_politicalnlp","Proceedings of the Second Workshop on Natural Language Processing for Political Sciences @ LREC-COLING 2024","10.63317\u002F3qf3r8pwtkvp","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpoliticalnlp\u002F2024.politicalnlp-1.0.pdf","politicalnlp|ws",{"workshop_id":403,"year":29,"full_workshop_id":781,"proceedings_title":782,"paperCount":345,"doi":783,"pdf_url":784,"venue_ids":785,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"lrec2024_ws_rail","Proceedings of the Fifth Workshop on Resources for African Indigenous Languages @ LREC-COLING 2024","10.63317\u002F2iyqymd34fup","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Frail\u002F2024.rail-1.0.pdf","rail|ws",{"workshop_id":565,"year":29,"full_workshop_id":787,"proceedings_title":788,"paperCount":266,"doi":789,"pdf_url":790,"venue_ids":791,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"lrec2024_ws_rapid","Proceedings of the Fifth Workshop on Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive\u002Fpsychiatric\u002Fdevelopmental impairments @LREC-COLING 2024","10.63317\u002F5pc4wtot6r3x","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Frapid\u002F2024.rapid-1.0.pdf","rapid|ws",{"workshop_id":408,"year":29,"full_workshop_id":793,"proceedings_title":794,"paperCount":286,"doi":795,"pdf_url":796,"venue_ids":797,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"lrec2024_ws_readi","Proceedings of the 3rd Workshop on Tools and Resources for People with REAding DIfficulties (READI) @ LREC-COLING 2024","10.63317\u002F4b546asxrjr6","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Freadi\u002F2024.readi-1.0.pdf","readi|ws",{"workshop_id":799,"year":29,"full_workshop_id":800,"proceedings_title":801,"paperCount":273,"doi":802,"pdf_url":803,"venue_ids":804,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"rfp","lrec2024_ws_rfp","Proceedings of the First Workshop on Reference, Framing, and Perspective @ LREC-COLING 2024","10.63317\u002F4xwx3twp9qoy","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Frfp\u002F2024.rfp-1.0.pdf","rfp|ws",{"workshop_id":806,"year":29,"full_workshop_id":807,"proceedings_title":808,"paperCount":273,"doi":809,"pdf_url":810,"venue_ids":811,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"safety4convai","lrec2024_ws_safety4convai","Proceedings of Safety4ConvAI: The Third Workshop on Safety for Conversational AI @ LREC-COLING 2024","10.63317\u002F4johe7jpagg6","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fsafeai\u002F2024.safety4convai-1.0.pdf","safety4convai|ws",{"workshop_id":420,"year":29,"full_workshop_id":813,"proceedings_title":814,"paperCount":815,"doi":816,"pdf_url":817,"venue_ids":420,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"lrec2024_ws_signlang","Proceedings of the LREC-COLING 2024 11th Workshop on the Representation and Processing of Sign Languages: Evaluation of Sign Language Resources",45,"10.63317\u002F4e7aayu2htd6","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fsignlang\u002F2024.signlang-1.0.pdf",{"workshop_id":588,"year":29,"full_workshop_id":819,"proceedings_title":820,"paperCount":821,"doi":822,"pdf_url":823,"venue_ids":824,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"lrec2024_ws_sigul","Proceedings of the 3rd Annual Meeting of the Special Interest Group on Under-resourced Languages @ LREC-COLING 2024",50,"10.63317\u002F55wjiy53vy99","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fsigul\u002F2024.sigul-1.0.pdf","sigul|ws",{"workshop_id":604,"year":29,"full_workshop_id":826,"proceedings_title":827,"paperCount":368,"doi":828,"pdf_url":829,"venue_ids":830,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"lrec2024_ws_tdle","Proceedings of the Second International Workshop Towards Digital Language Equality (TDLE): Focusing on Sustainability @ LREC-COLING 2024","10.63317\u002F3p5nrhhwdhbe","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Ftdle\u002F2024.tdle-1.0.pdf","tdle|ws",{"workshop_id":437,"year":29,"full_workshop_id":832,"proceedings_title":833,"paperCount":345,"doi":834,"pdf_url":835,"venue_ids":836,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"lrec2024_ws_trac","Proceedings of the Fourth Workshop on Threat, Aggression & Cyberbullying @ LREC-COLING-2024","10.63317\u002F2ev2ox49nijy","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Ftrac\u002F2024.trac-1.0.pdf","trac|ws",{"workshop_id":838,"year":29,"full_workshop_id":839,"proceedings_title":840,"paperCount":758,"doi":841,"pdf_url":842,"venue_ids":838,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"unlp","lrec2024_ws_unlp","Proceedings of the Third Ukrainian Natural Language Processing Workshop (UNLP) @ LREC-COLING 2024","10.63317\u002F5bwu58575ghh","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Funlp\u002F2024.unlp-1.0.pdf",{"workshop_id":448,"year":29,"full_workshop_id":844,"proceedings_title":845,"paperCount":266,"doi":846,"pdf_url":847,"venue_ids":848,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},"lrec2024_ws_wildre","Proceedings of the 7th Workshop on Indian Language Data: Resources and Evaluation","10.63317\u002F52j5bum2j3fk","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fwildre\u002F2024.wildre-1.0.pdf","wildre|ws",{"conference_id":28,"year":29,"proceedings_title":30,"venue_ids":31,"isbn":32,"issn":11,"doi":33,"publisher":34,"editors":35,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_city":40,"conference_country":41,"conference_start_date":42,"conference_end_date":43,"conference_url":44,"pdf_url":45,"img_conf_url":25,"paperCount":46},{"workshop":851,"papers":852},{"workshop_id":631,"year":29,"full_workshop_id":632,"proceedings_title":633,"paperCount":634,"doi":635,"pdf_url":636,"venue_ids":637,"publisher":34,"editor":63,"conference_name":36,"conference_acronym":37,"conference_number":38,"conference_location":39,"conference_start_date":42,"conference_end_date":43},[853,882,912,929,973,1007,1039,1056,1071,1093,1110,1145,1165,1191,1211,1243,1260,1298,1320,1343,1363,1390,1416,1442,1459,1490,1528,1547,1569,1591,1608,1629,1654],{"paper_id":854,"title":855,"year":29,"month":856,"day":63,"doi":857,"resource_url":858,"first_page":247,"last_page":155,"pdf_url":859,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":860,"paper_type":861,"authors":862,"abstract":881},"lrec2024-ws-cl4health-01","Improving Sign Language Production in the Healthcare Domain Using UMLS and Multi-task Learning","05","10.63317\u002F2khu5fogc7be","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-01","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.1.pdf","mutal-etal-2024-improving","workshop",[863,866,869,872,875,878],{"paper_id":854,"author_seq":247,"given_name":864,"surname":865,"affiliation":63,"orcid":63},"Jonathan","Mutal",{"paper_id":854,"author_seq":232,"given_name":867,"surname":868,"affiliation":63,"orcid":63},"Raphael","Rubino",{"paper_id":854,"author_seq":218,"given_name":870,"surname":871,"affiliation":63,"orcid":63},"Pierrette","Bouillon",{"paper_id":854,"author_seq":203,"given_name":873,"surname":874,"affiliation":63,"orcid":63},"Bastien","David",{"paper_id":854,"author_seq":188,"given_name":876,"surname":877,"affiliation":63,"orcid":63},"Johanna","Gerlach",{"paper_id":854,"author_seq":172,"given_name":879,"surname":880,"affiliation":63,"orcid":63},"Irene","Strasly","This paper presents a study on Swiss-French sign language production in the medical domain. In emergency care settings, a lack of clear communication can interfere with accurate delivery of health related services. For patients communicating with sign language, equal access to healthcare remains an issue. While previous work has explored producing sign language gloss from a source text, we propose to extend this approach to produce a multichannel sign language output given a written French input. Furthermore, we extend our approach with a multi-task framework allowing us to include the Unified Medical Language System (UMLS) in our model. Results show that the introduction of UMLS in the training data improves model accuracy by 13.64 points.",{"paper_id":883,"title":884,"year":29,"month":856,"day":63,"doi":885,"resource_url":886,"first_page":138,"last_page":887,"pdf_url":888,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":889,"paper_type":861,"authors":890,"abstract":911},"lrec2024-ws-cl4health-02","It’s Difficult to Be Neutral – Human and LLM-based Sentiment Annotation of Patient Comments","10.63317\u002F2ce52hsv3srb","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-02","19","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.2.pdf","maehlum-etal-2024-difficult",[891,894,896,899,902,905,908],{"paper_id":883,"author_seq":247,"given_name":892,"surname":893,"affiliation":63,"orcid":63},"Petter","Mæhlum",{"paper_id":883,"author_seq":232,"given_name":874,"surname":895,"affiliation":63,"orcid":63},"Samuel",{"paper_id":883,"author_seq":218,"given_name":897,"surname":898,"affiliation":63,"orcid":63},"Rebecka Maria","Norman",{"paper_id":883,"author_seq":203,"given_name":900,"surname":901,"affiliation":63,"orcid":63},"Elma","Jelin",{"paper_id":883,"author_seq":188,"given_name":903,"surname":904,"affiliation":63,"orcid":63},"Øyvind Andresen","Bjertnæs",{"paper_id":883,"author_seq":172,"given_name":906,"surname":907,"affiliation":63,"orcid":63},"Lilja","Øvrelid",{"paper_id":883,"author_seq":155,"given_name":909,"surname":910,"affiliation":63,"orcid":63},"Erik","Velldal","Sentiment analysis is an important tool for aggregating patient voices, in order to provide targeted improvements in healthcare services. A prerequisite for this is the availability of in-domain data annotated for sentiment. This article documents an effort to add sentiment annotations to free-text comments in patient surveys collected by the Norwegian Institute of Public Health (NIPH). However, annotation can be a time-consuming and resource-intensive process, particularly when it requires domain expertise. We therefore also evaluate a possible alternative to human annotation, using large language models (LLMs) as annotators. We perform an extensive evaluation of the approach for two openly available pretrained LLMs for Norwegian, experimenting with different configurations of prompts and in-context learning, comparing their performance to human annotators. We find that even for zero-shot runs, models perform well above the baseline for binary sentiment, but still cannot compete with human annotators on the full dataset.",{"paper_id":913,"title":914,"year":29,"month":856,"day":63,"doi":915,"resource_url":916,"first_page":917,"last_page":918,"pdf_url":919,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":920,"paper_type":861,"authors":921,"abstract":928},"lrec2024-ws-cl4health-03","Simulating Diverse Patient Populations Using Patient Vignettes and Large Language Models","10.63317\u002F2uo6ku4nnk37","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-03","20","25","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.3.pdf","reichenpfader-denecke-2024-simulating",[922,925],{"paper_id":913,"author_seq":247,"given_name":923,"surname":924,"affiliation":63,"orcid":63},"Daniel","Reichenpfader",{"paper_id":913,"author_seq":232,"given_name":926,"surname":927,"affiliation":63,"orcid":63},"Kerstin","Denecke","Ensuring equitable access to digital therapeutics (DTx) is essential to avoid healthcare inequalities in an era of increasing digitization. This requires DTx to be tested with users from diverse populations, which is often not realistic due to time and resource constraints. In this paper, we propose the use of large language models (LLMs) to simulate diverse patients. Specifically, we manually create a patient vignette that characterizes a specific population group. Variations of this vignette are used for role-prompting a commercial LLM, GPT-4, instructing the LLM to take on the role described in the patient vignette and act accordingly. We investigate if the LLM stays in its given role. To do this, we simulate a medical anamnesis interview with the role-prompted LLM and analyze its responses for compliance, coherence, correctness, containment, and clarification. Our results show that GPT-4 generates compliant, coherent and clinically valid responses, including information that is not explicitly stated in the provided patient vignette.",{"paper_id":930,"title":931,"year":29,"month":856,"day":63,"doi":932,"resource_url":933,"first_page":934,"last_page":935,"pdf_url":936,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":937,"paper_type":861,"authors":938,"abstract":972},"lrec2024-ws-cl4health-04","Annotating Emotions in Acquired Brain Injury Patients’ Narratives","10.63317\u002F25wszzwyow4j","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-04","26","36","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.4.pdf","klein-etal-2024-annotating",[939,942,945,948,951,954,957,960,963,966,969],{"paper_id":930,"author_seq":247,"given_name":940,"surname":941,"affiliation":63,"orcid":63},"Salomé","Klein",{"paper_id":930,"author_seq":232,"given_name":943,"surname":944,"affiliation":63,"orcid":63},"Amalia","Todirascu",{"paper_id":930,"author_seq":218,"given_name":946,"surname":947,"affiliation":63,"orcid":63},"Hélène","Vassiliadou",{"paper_id":930,"author_seq":203,"given_name":949,"surname":950,"affiliation":63,"orcid":63},"Marie","Kuppelin",{"paper_id":930,"author_seq":188,"given_name":952,"surname":953,"affiliation":63,"orcid":63},"Joffrey","Becart",{"paper_id":930,"author_seq":172,"given_name":955,"surname":956,"affiliation":63,"orcid":63},"Thalassio","Briand",{"paper_id":930,"author_seq":155,"given_name":958,"surname":959,"affiliation":63,"orcid":63},"Clara","Coridon",{"paper_id":930,"author_seq":138,"given_name":961,"surname":962,"affiliation":63,"orcid":63},"Francine","Gerhard-Krait",{"paper_id":930,"author_seq":121,"given_name":964,"surname":965,"affiliation":63,"orcid":63},"Joé","Laroche",{"paper_id":930,"author_seq":104,"given_name":967,"surname":968,"affiliation":63,"orcid":63},"Jean","Ulrich",{"paper_id":930,"author_seq":87,"given_name":970,"surname":971,"affiliation":63,"orcid":63},"Agata","Krasny-Pacini","In this article, we aim to measure the patients’ progress in recognizing and naming emotions by capturing a variety of phenomena that express emotion in discourse. To do so, we introduce an emotion annotation scheme adapted for Acquired Brain Injury (ABI) patients’ narratives. We draw on recent research outcomes in line with linguistic and psychological theories of emotion in the development of French resources for Natural Language Processing (NLP). From this perspective and following Battistelli et al. (2022) guidelines, our protocol considers several means of expressing emotions, including prototypical expressions as well as implicit means. Its originality lies on the methodology adopted for its creation, as we combined, adapted, and tested several previous annotation schemes to create a tool tailored to our spoken clinical French corpus and its unique characteristics and challenges.",{"paper_id":974,"title":975,"year":29,"month":856,"day":63,"doi":976,"resource_url":977,"first_page":978,"last_page":979,"pdf_url":980,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":981,"paper_type":861,"authors":982,"abstract":1006},"lrec2024-ws-cl4health-05","Structuring Clinical Notes of Italian ST-elevation Myocardial Infarction Patients","10.63317\u002F3epvbc72cms7","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-05","37","43","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.5.pdf","torri-etal-2024-structuring",[983,986,989,992,995,998,1000,1003],{"paper_id":974,"author_seq":247,"given_name":984,"surname":985,"affiliation":63,"orcid":63},"Vittorio","Torri",{"paper_id":974,"author_seq":232,"given_name":987,"surname":988,"affiliation":63,"orcid":63},"Sara","Mazzucato",{"paper_id":974,"author_seq":218,"given_name":990,"surname":991,"affiliation":63,"orcid":63},"Stefano","Dalmiani",{"paper_id":974,"author_seq":203,"given_name":993,"surname":994,"affiliation":63,"orcid":63},"Umberto","Paradossi",{"paper_id":974,"author_seq":188,"given_name":996,"surname":997,"affiliation":63,"orcid":63},"Claudio","Passino",{"paper_id":974,"author_seq":172,"given_name":987,"surname":999,"affiliation":63,"orcid":63},"Moccia",{"paper_id":974,"author_seq":155,"given_name":1001,"surname":1002,"affiliation":63,"orcid":63},"Silvestro","Micera",{"paper_id":974,"author_seq":138,"given_name":1004,"surname":1005,"affiliation":63,"orcid":63},"Francesca","Ieva","In recent years, it has become common for patients to get full access to their Electronic Health Records (EHRs), thanks to the advancements in the EHRs systems of many healthcare providers. While this access empowers patients and doctors with comprehensive and real-time health information, it also introduces new challenges, in particular due to the unstructured nature of much of the information within EHRs. To address this, we propose a pipeline to structure clinical notes, providing them with a clear and concise overview of their health data and its longitudinal evolution, also allowing clinicians to focus more on patient care during consultations. In this paper, we present preliminary results on extracting structured information from anamneses of patients diagnosed with ST-Elevation Myocardial Infarction from an Italian hospital. Our pipeline exploits text classification models to extract relevant clinical variables, comparing rule-based, recurrent neural network and BERT-based models. While various approaches utilized ontologies or knowledge graphs for Italian data, our work represents the first attempt to develop this type of pipeline. The results for the extraction of most variables are satisfactory (f1-score > 0.80), with the exception of the most rare values of certain variables, for which we propose future research directions to investigate.",{"paper_id":1008,"title":1009,"year":29,"month":856,"day":63,"doi":1010,"resource_url":1011,"first_page":1012,"last_page":1013,"pdf_url":1014,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1015,"paper_type":861,"authors":1016,"abstract":1038},"lrec2024-ws-cl4health-06","Towards AI-supported Health Communication in Plain Language: Evaluating Intralingual Machine Translation of Medical Texts","10.63317\u002F56dnbf6qrwaq","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-06","44","53","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.6.pdf","deilen-etal-2024-towards",[1017,1020,1023,1026,1029,1032,1035],{"paper_id":1008,"author_seq":247,"given_name":1018,"surname":1019,"affiliation":63,"orcid":63},"Silvana","Deilen",{"paper_id":1008,"author_seq":232,"given_name":1021,"surname":1022,"affiliation":63,"orcid":63},"Ekaterina","Lapshinova-Koltunski",{"paper_id":1008,"author_seq":218,"given_name":1024,"surname":1025,"affiliation":63,"orcid":63},"Sergio","Hernández Garrido",{"paper_id":1008,"author_seq":203,"given_name":1027,"surname":1028,"affiliation":63,"orcid":63},"Christiane","Maaß",{"paper_id":1008,"author_seq":188,"given_name":1030,"surname":1031,"affiliation":63,"orcid":63},"Julian","Hörner",{"paper_id":1008,"author_seq":172,"given_name":1033,"surname":1034,"affiliation":63,"orcid":63},"Vanessa","Theel",{"paper_id":1008,"author_seq":155,"given_name":1036,"surname":1037,"affiliation":63,"orcid":63},"Sophie","Ziemer","In this paper, we describe results of a study on evaluation of intralingual machine translation. The study focuses on machine translations of medical texts into Plain German. The automatically simplified texts were compared with manually simplified texts (i.e., simplified by human experts) as well as with the underlying, unsimplified source texts. We analyse the quality of the translations based on different criteria, such as correctness, readability, and syntactic complexity. The study revealed that the machine translations were easier to read than the source texts, but contained a higher number of complex syntactic relations than the human translations. Furthermore, we identified various types of mistakes. These included not only grammatical mistakes but also content-related mistakes that resulted, for example, from mistranslations of grammatical structures, ambiguous words or numbers, omissions of relevant prefixes or negation, and incorrect explanations of technical terms.",{"paper_id":1040,"title":1041,"year":29,"month":856,"day":63,"doi":1042,"resource_url":1043,"first_page":1044,"last_page":1045,"pdf_url":1046,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1047,"paper_type":861,"authors":1048,"abstract":1055},"lrec2024-ws-cl4health-07","Large Language Models as Drug Information Providers for Patients","10.63317\u002F355sfortr2i5","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-07","54","63","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.7.pdf","giordano-di-buono-2024-large",[1049,1052],{"paper_id":1040,"author_seq":247,"given_name":1050,"surname":1051,"affiliation":63,"orcid":63},"Luca","Giordano",{"paper_id":1040,"author_seq":232,"given_name":1053,"surname":1054,"affiliation":63,"orcid":63},"Maria Pia","di Buono","Recently, a significant interest has arisen about the application of Large Language Models (LLMs) in medical settings to enhance various aspects of healthcare. Particularly, the application of such models to improve knowledge access for both clinicians and patients seems very promising but still far from perfect. In this paper, we present a preliminary evaluation of LLMs as drug information providers to support patients in drug administration. We focus on posology, namely dosage quantity and prescription, contraindications and adverse drug reactions and run an experiment on the Italian language to assess both the trustworthiness of the outputs and their readability. The results show that different types of errors affect the LLM answers. In some cases, the model does not recognize the drug name, due to the presence of synonymous words, or it provides untrustworthy information, caused by intrinsic hallucinations. Overall, the complexity of the language is lower and this could contribute to make medical information more accessible to lay people.",{"paper_id":1057,"title":1058,"year":29,"month":856,"day":63,"doi":1059,"resource_url":1060,"first_page":1061,"last_page":1062,"pdf_url":1063,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1064,"paper_type":861,"authors":1065,"abstract":63},"lrec2024-ws-cl4health-08","Towards Generation of Personalised Health Intervention Messages","10.63317\u002F3fsqydjw9w6o","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-08","64","72","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.8.pdf","wan-ching-ho-petukhova-2024-towards",[1066,1068],{"paper_id":1057,"author_seq":247,"given_name":958,"surname":1067,"affiliation":63,"orcid":63},"Wan Ching Ho",{"paper_id":1057,"author_seq":232,"given_name":1069,"surname":1070,"affiliation":63,"orcid":63},"Volha","Petukhova",{"paper_id":1072,"title":1073,"year":29,"month":856,"day":63,"doi":1074,"resource_url":1075,"first_page":1076,"last_page":1077,"pdf_url":1078,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1079,"paper_type":861,"authors":1080,"abstract":63},"lrec2024-ws-cl4health-09","Analysing Emotions in Cancer Narratives: A Corpus-Driven Approach","10.63317\u002F3bsh2jtq7whp","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-09","73","83","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.9.pdf","lal-etal-2024-analysing",[1081,1084,1087,1090],{"paper_id":1072,"author_seq":247,"given_name":1082,"surname":1083,"affiliation":63,"orcid":63},"Daisy Monika","Lal",{"paper_id":1072,"author_seq":232,"given_name":1085,"surname":1086,"affiliation":63,"orcid":63},"Paul","Rayson",{"paper_id":1072,"author_seq":218,"given_name":1088,"surname":1089,"affiliation":63,"orcid":63},"Sheila A.","Payne",{"paper_id":1072,"author_seq":203,"given_name":1091,"surname":1092,"affiliation":63,"orcid":63},"Yufeng","Liu",{"paper_id":1094,"title":1095,"year":29,"month":856,"day":63,"doi":1096,"resource_url":1097,"first_page":1098,"last_page":1099,"pdf_url":1100,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1101,"paper_type":861,"authors":1102,"abstract":1109},"lrec2024-ws-cl4health-10","Study of Medical Text Reading and Comprehension through Eye-Tracking Fixations","10.63317\u002F2zyy36222zpm","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-10","84","92","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.10.pdf","ivchenko-grabar-2024-study",[1103,1106],{"paper_id":1094,"author_seq":247,"given_name":1104,"surname":1105,"affiliation":63,"orcid":63},"Oksana","Ivchenko",{"paper_id":1094,"author_seq":232,"given_name":1107,"surname":1108,"affiliation":63,"orcid":63},"Natalia","Grabar","Reading plays a crucial role in cognitive processes, acting as the primary way in which people access and assimilate information. However, the ability to effectively comprehend and understand text is significantly influenced by various factors related to people and text types. We propose to study the reading easiness and comprehension of texts through the eye-tracking technology, which tracks gaze and records eye movement during reading. We concentrate on the study of eye-tracking measures related to fixations (average duration of fixations and number of fixations). The experiments are performed on several types of texts (clinical cases, encyclopedia articles related to the medical area, general-language texts, and simplified clinical cases). Eye-tracking measures are analysed quantitatively and qualitatively to draw the reading patterns and analyse how the reading differs across the text types.",{"paper_id":1111,"title":1112,"year":29,"month":856,"day":63,"doi":1113,"resource_url":1114,"first_page":1115,"last_page":1116,"pdf_url":1117,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1118,"paper_type":861,"authors":1119,"abstract":1144},"lrec2024-ws-cl4health-11","A Neuro-Symbolic Approach to Monitoring Salt Content in Food","10.63317\u002F2c9ksvq2zcq6","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-11","93","103","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.11.pdf","tayal-etal-2024-neuro",[1120,1123,1126,1129,1132,1135,1138,1141],{"paper_id":1111,"author_seq":247,"given_name":1121,"surname":1122,"affiliation":63,"orcid":63},"Anuja","Tayal",{"paper_id":1111,"author_seq":232,"given_name":1124,"surname":1125,"affiliation":63,"orcid":63},"Barbara","Di Eugenio",{"paper_id":1111,"author_seq":218,"given_name":1127,"surname":1128,"affiliation":63,"orcid":63},"Devika","Salunke",{"paper_id":1111,"author_seq":203,"given_name":1130,"surname":1131,"affiliation":63,"orcid":63},"Andrew D.","Boyd",{"paper_id":1111,"author_seq":188,"given_name":1133,"surname":1134,"affiliation":63,"orcid":63},"Carolyn A.","Dickens",{"paper_id":1111,"author_seq":172,"given_name":1136,"surname":1137,"affiliation":63,"orcid":63},"Eulalia P.","Abril",{"paper_id":1111,"author_seq":155,"given_name":1139,"surname":1140,"affiliation":63,"orcid":63},"Olga","Garcia-Bedoya",{"paper_id":1111,"author_seq":138,"given_name":1142,"surname":1143,"affiliation":63,"orcid":63},"Paula G.","Allen-Meares","We propose a dialogue system that enables heart failure patients to inquire about salt content in foods and help them monitor and reduce salt intake. Addressing the lack of specific datasets for food-based salt content inquiries, we develop a template-based conversational dataset. The dataset is structured to ask clarification questions to identify food items and their salt content. Our findings indicate that while fine-tuning transformer-based models on the dataset yields limited performance, the integration of Neuro-Symbolic Rules significantly enhances the system’s performance. Our experiments show that by integrating neuro-symbolic rules, our system achieves an improvement in joint goal accuracy of over 20% across different data sizes compared to naively fine-tuning transformer-based models.",{"paper_id":1146,"title":1147,"year":29,"month":856,"day":63,"doi":1148,"resource_url":1149,"first_page":1150,"last_page":1151,"pdf_url":1152,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1153,"paper_type":861,"authors":1154,"abstract":1164},"lrec2024-ws-cl4health-12","On Simplification of Discharge Summaries in Serbian: Facing the Challenges","10.63317\u002F2wnesn42uy3w","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-12","104","108","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.12.pdf","zecevic-etal-2024-simplification",[1155,1158,1161],{"paper_id":1146,"author_seq":247,"given_name":1156,"surname":1157,"affiliation":63,"orcid":63},"Anđelka","Zečević",{"paper_id":1146,"author_seq":232,"given_name":1159,"surname":1160,"affiliation":63,"orcid":63},"Milica","Ćulafić",{"paper_id":1146,"author_seq":218,"given_name":1162,"surname":1163,"affiliation":63,"orcid":63},"Stefan","Stojković","The simplified information page (SIP) is a simplified discharge summary created to mitigate health risks caused by low medical comprehension. One of the most critical aspects of medical comprehension concerns interpreting medication instructions such as proper dosing, frequency, and duration. In our work, we examine the capacities of mainstream Large Language Models (LLMs) such as ChatGPT and Gemini to generate SIP-like medication-oriented pages based on the provided discharge summaries. We are sharing the initial qualitative assessments of our study based on a small collection of discharge summaries in Serbian, pointing to noticed inaccuracies, unfaithful content, and language quality. Hopefully, these findings might be helpful in addressing the multilingual perspective of patient-oriented language.",{"paper_id":1166,"title":1167,"year":29,"month":856,"day":63,"doi":1168,"resource_url":1169,"first_page":1170,"last_page":1171,"pdf_url":1172,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1173,"paper_type":861,"authors":1174,"abstract":1190},"lrec2024-ws-cl4health-13","Medical-FLAVORS: A Figurative Language and Vocabulary Open Repository for Spanish in the Medical Domain","10.63317\u002F3e6c5r8xwu7s","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-13","109","114","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.13.pdf","pitarch-etal-2024-medical",[1175,1178,1181,1182,1183,1186,1187],{"paper_id":1166,"author_seq":247,"given_name":1176,"surname":1177,"affiliation":63,"orcid":63},"Lucia","Pitarch",{"paper_id":1166,"author_seq":232,"given_name":1179,"surname":1180,"affiliation":63,"orcid":63},"Emma","Angles-Herrero",{"paper_id":1166,"author_seq":218,"given_name":1091,"surname":1092,"affiliation":63,"orcid":63},{"paper_id":1166,"author_seq":203,"given_name":1082,"surname":1083,"affiliation":63,"orcid":63},{"paper_id":1166,"author_seq":188,"given_name":1184,"surname":1185,"affiliation":63,"orcid":63},"Jorge","Gracia",{"paper_id":1166,"author_seq":172,"given_name":1085,"surname":1086,"affiliation":63,"orcid":63},{"paper_id":1166,"author_seq":155,"given_name":1188,"surname":1189,"affiliation":63,"orcid":63},"Judith","Rietjens","Metaphors shape the way we think by enabling the expression of one concept in terms of another one. For instance, cancer can be understood as a place from which one can go in and out, as a journey that one can traverse, or as a battle. Giving patients awareness of the way they refer to cancer and different narratives in which they can reframe it has been proven to be a key aspect when experiencing the disease. In this work, we propose a preliminary identification and representation of Spanish cancer metaphors using MIP (Metaphor Identification Procedure) and MetaNet. The created resource is the first openly available dataset for medical metaphors in Spanish. Thus, in the future, we expect to use it as the gold standard in automatic metaphor processing tasks, which will also serve to further populate the resource and understand how cancer is experienced and narrated.",{"paper_id":1192,"title":1193,"year":29,"month":856,"day":63,"doi":1194,"resource_url":1195,"first_page":1196,"last_page":1197,"pdf_url":1198,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1199,"paper_type":861,"authors":1200,"abstract":1210},"lrec2024-ws-cl4health-14","Generating Synthetic Documents with Clinical Keywords: A Privacy-Sensitive Methodology","10.63317\u002F55dyk6nujgxa","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-14","115","123","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.14.pdf","meoni-etal-2024-generating",[1201,1204,1207],{"paper_id":1192,"author_seq":247,"given_name":1202,"surname":1203,"affiliation":63,"orcid":63},"Simon","Meoni",{"paper_id":1192,"author_seq":232,"given_name":1205,"surname":1206,"affiliation":63,"orcid":63},"Éric","De la Clergerie",{"paper_id":1192,"author_seq":218,"given_name":1208,"surname":1209,"affiliation":63,"orcid":63},"Théo","Ryffel","Electronic Health Records store valuable patient-staff interaction data. These notes, often unstructured to save healthcare personnel time, can be challenging to analyze manually. Proprietary online Large Language Models have demonstrated impressive results in analyzing EHR notes. However, Clinical NLP faces unique challenges due to the sensitive and specialized nature of the data. Sending patient information via external APIs poses privacy risks, and hospitals require customized NLP systems to align with their unique practices. To address these challenges, developing customized LLMs using specific training datasets is crucial. To address this, we propose generating synthetic training data using keywords extracted without confidential information. Furthermore, we introduce a reward mechanism that iteratively refines the quality of synthetic documents. This involves scoring synthetic candidates against real clinical reports using a semantic textual similarity score and performing an aligment step to align the model with its best-scored utterances.",{"paper_id":1212,"title":1213,"year":29,"month":856,"day":63,"doi":1214,"resource_url":1215,"first_page":1216,"last_page":1217,"pdf_url":1218,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1219,"paper_type":861,"authors":1220,"abstract":1242},"lrec2024-ws-cl4health-15","Building Certified Medical Chatbots: Overcoming Unstructured Data Limitations with Modular RAG","10.63317\u002F346xugff5ez3","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-15","124","130","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.15.pdf","sanna-etal-2024-building",[1221,1224,1227,1230,1233,1236,1239],{"paper_id":1212,"author_seq":247,"given_name":1222,"surname":1223,"affiliation":63,"orcid":63},"Leonardo","Sanna",{"paper_id":1212,"author_seq":232,"given_name":1225,"surname":1226,"affiliation":63,"orcid":63},"Patrizio","Bellan",{"paper_id":1212,"author_seq":218,"given_name":1228,"surname":1229,"affiliation":63,"orcid":63},"Simone","Magnolini",{"paper_id":1212,"author_seq":203,"given_name":1231,"surname":1232,"affiliation":63,"orcid":63},"Marina","Segala",{"paper_id":1212,"author_seq":188,"given_name":1234,"surname":1235,"affiliation":63,"orcid":63},"Saba","Ghanbari Haez",{"paper_id":1212,"author_seq":172,"given_name":1237,"surname":1238,"affiliation":63,"orcid":63},"Monica","Consolandi",{"paper_id":1212,"author_seq":155,"given_name":1240,"surname":1241,"affiliation":63,"orcid":63},"Mauro","Dragoni","Creating a certified conversational agent poses several issues. The need to manage fine-grained information delivery and the necessity to provide reliable medical information requires a notable effort, especially in dataset preparation. In this paper, we investigate the challenges of building a certified medical chatbot in Italian that provides information about pregnancy and early childhood. We show some negative initial results regarding the possibility of creating a certified conversational agent within the RASA framework starting from unstructured data. Finally, we propose a modular RAG model to implement a Large Language Model in a certified context, overcoming data limitations and enabling data collection on actual conversations.",{"paper_id":1244,"title":1245,"year":29,"month":856,"day":63,"doi":1246,"resource_url":1247,"first_page":1248,"last_page":1249,"pdf_url":1250,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1251,"paper_type":861,"authors":1252,"abstract":1259},"lrec2024-ws-cl4health-16","Towards Using Automatically Enhanced Knowledge Graphs to Aid Temporal Relation Extraction","10.63317\u002F3bhm564ihwm4","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-16","131","136","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.16.pdf","knez-zitnik-2024-towards",[1253,1256],{"paper_id":1244,"author_seq":247,"given_name":1254,"surname":1255,"affiliation":63,"orcid":63},"Timotej","Knez",{"paper_id":1244,"author_seq":232,"given_name":1257,"surname":1258,"affiliation":63,"orcid":63},"Slavko","Žitnik","Temporal relation extraction in medical document analysis is crucial for understanding patient histories and treatment outcomes. This paper introduces a novel approach leveraging a bimodal model integrating textual content and a knowledge graph, to enhance temporal relation extraction. The paper presents ongoing research in constructing an optimal knowledge graph by augmenting PrimeKG with dynamically expanded information using a language model-generated knowledge graph, and further personalize the information with patient-specific graphs tailored for relation prediction. The pipeline for constructing this enriched knowledge graph is detailed, aiming to improve the capabilities of temporal relation extraction models. The preliminary results show that adding a simple knowledge graph to the temporal relation extraction model can significantly increase the performance, achieving new state-of-the-art results. While the research in using enhanced knowledge graphs is still ongoing, this paper lays the groundwork for leveraging common knowledge to advance temporal relation extraction in medical contexts. This approach holds promise for enhancing the understanding of patient histories and treatment outcomes, potentially leading to improved healthcare decision-making and patient care.",{"paper_id":1261,"title":1262,"year":29,"month":856,"day":63,"doi":1263,"resource_url":1264,"first_page":1265,"last_page":1266,"pdf_url":1267,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1268,"paper_type":861,"authors":1269,"abstract":1297},"lrec2024-ws-cl4health-17","Experiments in Automated Generation of Discharge Summaries in Italian","10.63317\u002F4uyhz4idjvkh","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-17","137","144","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.17.pdf","ruinelli-etal-2024-experiments",[1270,1273,1276,1279,1282,1285,1288,1291,1294],{"paper_id":1261,"author_seq":247,"given_name":1271,"surname":1272,"affiliation":63,"orcid":63},"Lorenzo","Ruinelli",{"paper_id":1261,"author_seq":232,"given_name":1274,"surname":1275,"affiliation":63,"orcid":63},"Amos","Colombo",{"paper_id":1261,"author_seq":218,"given_name":1277,"surname":1278,"affiliation":63,"orcid":63},"Mathilde","Rochat",{"paper_id":1261,"author_seq":203,"given_name":1280,"surname":1281,"affiliation":63,"orcid":63},"Sotirios Georgios","Popeskou",{"paper_id":1261,"author_seq":188,"given_name":1283,"surname":1284,"affiliation":63,"orcid":63},"Andrea","Franchini",{"paper_id":1261,"author_seq":172,"given_name":1286,"surname":1287,"affiliation":63,"orcid":63},"Sandra","Mitrović",{"paper_id":1261,"author_seq":155,"given_name":1289,"surname":1290,"affiliation":63,"orcid":63},"Oscar William","Lithgow",{"paper_id":1261,"author_seq":138,"given_name":1292,"surname":1293,"affiliation":63,"orcid":63},"Joseph","Cornelius",{"paper_id":1261,"author_seq":121,"given_name":1295,"surname":1296,"affiliation":63,"orcid":63},"Fabio","Rinaldi","Hospital discharge letters are a fundamental component of patient management, as they provide the crucial information needed for patient post-hospital care. However their creation is very demanding and resource intensive, as it requires consultation of several reports documenting the patient’s journey throughout their hospital stay. Given the increasing pressures on doctor’s time, tools that can draft a reasonable discharge summary, to be then reviewed and finalized by the experts, would be welcome. In this paper we present a comparative study exploring the possibility of automatic generation of discharge summaries within the context of an hospital in an Italian-speaking region and discuss quantitative and qualitative results. Despite some shortcomings, the obtained results show that a generic generative system such as ChatGPT is capable of producing discharge summaries which are relatively close to the human generated ones, even in Italian.",{"paper_id":1299,"title":1300,"year":29,"month":856,"day":63,"doi":1301,"resource_url":1302,"first_page":1303,"last_page":1304,"pdf_url":1305,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1306,"paper_type":861,"authors":1307,"abstract":63},"lrec2024-ws-cl4health-18","Evaluating LLMs for Temporal Entity Extraction from Pediatric Clinical Text in Rare Diseases Context","10.63317\u002F5mszwmbhujbq","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-18","145","152","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.18.pdf","andrew-etal-2024-evaluating",[1308,1311,1314,1317],{"paper_id":1299,"author_seq":247,"given_name":1309,"surname":1310,"affiliation":63,"orcid":63},"Judith Jeyafreeda","Andrew",{"paper_id":1299,"author_seq":232,"given_name":1312,"surname":1313,"affiliation":63,"orcid":63},"Marc","Vincent",{"paper_id":1299,"author_seq":218,"given_name":1315,"surname":1316,"affiliation":63,"orcid":63},"Anita","Burgun",{"paper_id":1299,"author_seq":203,"given_name":1318,"surname":1319,"affiliation":63,"orcid":63},"Nicolas","Garcelon",{"paper_id":1321,"title":1322,"year":29,"month":856,"day":63,"doi":1323,"resource_url":1324,"first_page":1325,"last_page":1326,"pdf_url":1327,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1328,"paper_type":861,"authors":1329,"abstract":1342},"lrec2024-ws-cl4health-19","Generating Distributable Surrogate Corpus for Medical Multi-label Classification","10.63317\u002F234ivfii9zqz","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-19","153","162","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.19.pdf","shimizu-etal-2024-generating",[1330,1333,1336,1339],{"paper_id":1321,"author_seq":247,"given_name":1331,"surname":1332,"affiliation":63,"orcid":63},"Seiji","Shimizu",{"paper_id":1321,"author_seq":232,"given_name":1334,"surname":1335,"affiliation":63,"orcid":63},"Shuntaro","Yada",{"paper_id":1321,"author_seq":218,"given_name":1337,"surname":1338,"affiliation":63,"orcid":63},"Shoko","Wakamiya",{"paper_id":1321,"author_seq":203,"given_name":1340,"surname":1341,"affiliation":63,"orcid":63},"Eiji","Aramaki","In medical and social media domains, annotated corpora are often hard to distribute due to copyrights and privacy issues. To overcome this situation, we propose a new method to generate a surrogate corpus for a downstream task by using a text generation model. We chose a medical multi-label classification task, MedWeb, in which patient-generated short messages express multiple symptoms. We first fine-tuned text generation models with different prompting designs on the original corpus to obtain synthetic versions of that corpus. To assess the viability of the generated corpora for the downstream task, we compared the performance of multi-label classification models trained either on the original or the surrogate corpora. The results and the error analysis showed the difficulty of generating surrogate corpus in multi-label settings, suggesting text generation under complex conditions is not trivial. On the other hand, our experiment demonstrates that the generated corpus with a sentinel-based prompting is comparatively viable in a single-label (multiclass) classification setting.",{"paper_id":1344,"title":1345,"year":29,"month":856,"day":63,"doi":1346,"resource_url":1347,"first_page":1348,"last_page":1349,"pdf_url":1350,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1351,"paper_type":861,"authors":1352,"abstract":1362},"lrec2024-ws-cl4health-20","CliniRes: Publicly Available Mapping of Clinical Lexical Resources","10.63317\u002F2n5jdrycpu4f","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-20","163","172","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.20.pdf","zotova-etal-2024-clinires",[1353,1356,1359],{"paper_id":1344,"author_seq":247,"given_name":1354,"surname":1355,"affiliation":63,"orcid":63},"Elena","Zotova",{"paper_id":1344,"author_seq":232,"given_name":1357,"surname":1358,"affiliation":63,"orcid":63},"Montse","Cuadros",{"paper_id":1344,"author_seq":218,"given_name":1360,"surname":1361,"affiliation":63,"orcid":63},"German","Rigau","This paper presents a human-readable resource for mapping identifiers from various clinical knowledge bases. This resource is a version of UMLS Metathesaurus enriched with WordNet 3.0 and 3.1 synsets, Wikidata items with their clinical identifiers, SNOMED CT to ICD-10 mapping and Spanish ICD-10 codes description. The main goal of the presented resource is to provide semantic interoperability across the clinical concepts from various knowledge bases and facilitate its integration into mapping tools. As a side effect, the mapping enriches already annotated medical corpora for entity recognition or entity linking tasks with new labels. We experiment with entity linking task, using a corpus annotated both manually and with the mapping method and demonstrate that a semi-automatic way of annotation may be used to create new labels. The resource is available in English and Spanish, although all languages of UMLS may be extracted. The new lexical resource is publicly available.",{"paper_id":1364,"title":1365,"year":29,"month":856,"day":63,"doi":1366,"resource_url":1367,"first_page":1368,"last_page":1369,"pdf_url":1370,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1371,"paper_type":861,"authors":1372,"abstract":1389},"lrec2024-ws-cl4health-21","MedDialog-FR: A French Version of the MedDialog Corpus for Multi-label Classification and Response Generation Related to Women’s Intimate Health","10.63317\u002F3p57g74xdef6","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-21","173","183","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.21.pdf","liu-etal-2024-meddialog",[1373,1375,1377,1380,1383,1386],{"paper_id":1364,"author_seq":247,"given_name":1374,"surname":1092,"affiliation":63,"orcid":63},"Xingyu",{"paper_id":1364,"author_seq":232,"given_name":1313,"surname":1376,"affiliation":63,"orcid":63},"Segonne",{"paper_id":1364,"author_seq":218,"given_name":1378,"surname":1379,"affiliation":63,"orcid":63},"Aidan","Mannion",{"paper_id":1364,"author_seq":203,"given_name":1381,"surname":1382,"affiliation":63,"orcid":63},"Didier","Schwab",{"paper_id":1364,"author_seq":188,"given_name":1384,"surname":1385,"affiliation":63,"orcid":63},"Lorraine","Goeuriot",{"paper_id":1364,"author_seq":172,"given_name":1387,"surname":1388,"affiliation":63,"orcid":63},"François","Portet","This article presents MedDialog-FR, a large publicly available corpus of French medical conversations for the medical domain. Motivated by the lack of French dialogue corpora for data-driven dialogue systems and the paucity of available information related to women’s intimate health, we introduce an annotated corpus of question-and-answer dialogues between a real patient and a real doctor concerning women’s intimate health. The corpus is composed of about 20,000 dialogues automatically translated from the English version of MedDialog-EN. The corpus test set is composed of 1,400 dialogues that have been manually post-edited and annotated with 22 categories from the UMLS ontology. We also fine-tuned state-of-the-art reference models to automatically perform multi-label classification and response generation to give an initial performance benchmark and highlight the difficulty of the tasks.",{"paper_id":1391,"title":1392,"year":29,"month":856,"day":63,"doi":1393,"resource_url":1394,"first_page":1395,"last_page":1396,"pdf_url":1397,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1398,"paper_type":861,"authors":1399,"abstract":1415},"lrec2024-ws-cl4health-22","Exploring the Suitability of Transformer Models to Analyse Mental Health Peer Support Forum Data for a Realist Evaluation","10.63317\u002F5g7xkmd96fub","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-22","184","188","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.22.pdf","coole-etal-2024-exploring",[1400,1403,1404,1407,1410,1412],{"paper_id":1391,"author_seq":247,"given_name":1401,"surname":1402,"affiliation":63,"orcid":63},"Matthew","Coole",{"paper_id":1391,"author_seq":232,"given_name":1085,"surname":1086,"affiliation":63,"orcid":63},{"paper_id":1391,"author_seq":218,"given_name":1405,"surname":1406,"affiliation":63,"orcid":63},"Zoe","Glossop",{"paper_id":1391,"author_seq":203,"given_name":1408,"surname":1409,"affiliation":63,"orcid":63},"Fiona","Lobban",{"paper_id":1391,"author_seq":188,"given_name":1085,"surname":1411,"affiliation":63,"orcid":63},"Marshall",{"paper_id":1391,"author_seq":172,"given_name":1413,"surname":1414,"affiliation":63,"orcid":63},"John","Vidler","Mental health peer support forums have become widely used in recent years. The emerging mental health crisis and the COVID-19 pandemic have meant that finding a place online for support and advice when dealing with mental health issues is more critical than ever. The need to examine, understand and find ways to improve the support provided by mental health forums is vital in the current climate. As part of this, we present our initial explorations in using modern transformer models to detect four key concepts (connectedness, lived experience, empathy and gratitude), which we believe are essential to understanding how people use mental health forums and will serve as a basis for testing more expansive realise theories about mental health forums in the future. As part of this work, we also replicate previously published results on empathy utilising an existing annotated dataset and test the other concepts on our manually annotated mental health forum posts dataset. These results serve as a basis for future research examining peer support forums.",{"paper_id":1417,"title":1418,"year":29,"month":856,"day":63,"doi":1419,"resource_url":1420,"first_page":1421,"last_page":1422,"pdf_url":1423,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1424,"paper_type":861,"authors":1425,"abstract":1441},"lrec2024-ws-cl4health-23","Revisiting the MIMIC-IV Benchmark: Experiments Using Language Models for Electronic Health Records","10.63317\u002F2xbhyr2bja9d","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-23","189","196","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.23.pdf","lovon-melgarejo-etal-2024-revisiting",[1426,1429,1432,1435,1438],{"paper_id":1417,"author_seq":247,"given_name":1427,"surname":1428,"affiliation":63,"orcid":63},"Jesus","Lovon-Melgarejo",{"paper_id":1417,"author_seq":232,"given_name":1430,"surname":1431,"affiliation":63,"orcid":63},"Thouria","Ben-Haddi",{"paper_id":1417,"author_seq":218,"given_name":1433,"surname":1434,"affiliation":63,"orcid":63},"Jules","Di Scala",{"paper_id":1417,"author_seq":203,"given_name":1436,"surname":1437,"affiliation":63,"orcid":63},"Jose G.","Moreno",{"paper_id":1417,"author_seq":188,"given_name":1439,"surname":1440,"affiliation":63,"orcid":63},"Lynda","Tamine","The lack of standardized evaluation benchmarks in the medical domain for text inputs can be a barrier to widely adopting and leveraging the potential of natural language models for health-related downstream tasks. This paper revisited an openly available MIMIC-IV benchmark for electronic health records (EHRs) to address this issue. First, we integrate the MIMIC-IV data within the Hugging Face datasets library to allow an easy share and use of this collection. Second, we investigate the application of templates to convert EHR tabular data to text. Experiments using fine-tuned and zero-shot LLMs on the mortality of patients task show that fine-tuned text-based models are competitive against robust tabular classifiers. In contrast, zero-shot LLMs struggle to leverage EHR representations. This study underlines the potential of text-based approaches in the medical field and highlights areas for further improvement.",{"paper_id":1443,"title":1444,"year":29,"month":856,"day":63,"doi":1445,"resource_url":1446,"first_page":1447,"last_page":1448,"pdf_url":1449,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1450,"paper_type":861,"authors":1451,"abstract":1458},"lrec2024-ws-cl4health-24","Unraveling Clinical Insights: A Lightweight and Interpretable Approach for Multimodal and Multilingual Knowledge Integration","10.63317\u002F4jdzipi5jdm9","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-24","197","203","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.24.pdf","uma-moens-2024-unraveling",[1452,1455],{"paper_id":1443,"author_seq":247,"given_name":1453,"surname":1454,"affiliation":63,"orcid":63},"Kanimozhi","Uma",{"paper_id":1443,"author_seq":232,"given_name":1456,"surname":1457,"affiliation":63,"orcid":63},"Marie-Francine","Moens","In recent years, the analysis of clinical texts has evolved significantly, driven by the emergence of language models like BERT such as PubMedBERT, and ClinicalBERT, which have been tailored for the (bio)medical domain that rely on extensive archives of medical documents. While they boast high accuracy, their lack of interpretability and language transfer limitations restrict their clinical utility. To address this, we propose a new, lightweight graph-based embedding method designed specifically for radiology reports. This approach considers the report’s structure and content, connecting medical terms through the multilingual SNOMED Clinical Terms knowledge base. The resulting graph embedding reveals intricate relationships among clinical terms, enhancing both clinician comprehension and clinical accuracy without the need for large pre-training datasets. Demonstrating the versatility of our method, we apply this embedding to two tasks: disease and image classification in X-ray reports. In disease classification, our model competes effectively with BERT-based approaches, yet it is significantly smaller and requires less training data. Additionally, in image classification, we illustrate the efficacy of the graph embedding by leveraging cross-modal knowledge transfer, highlighting its applicability across diverse languages.",{"paper_id":1460,"title":1461,"year":29,"month":856,"day":63,"doi":1462,"resource_url":1463,"first_page":1464,"last_page":1465,"pdf_url":1466,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1467,"paper_type":861,"authors":1468,"abstract":1489},"lrec2024-ws-cl4health-25","Automated Question-Answer Generation for Evaluating RAG-based Chatbots","10.63317\u002F3e22ykrrugx8","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-25","204","214","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.25.pdf","gonzalez-torres-etal-2024-automated",[1469,1472,1475,1478,1480,1483,1486],{"paper_id":1460,"author_seq":247,"given_name":1470,"surname":1471,"affiliation":63,"orcid":63},"Juan José","González Torres",{"paper_id":1460,"author_seq":232,"given_name":1473,"surname":1474,"affiliation":63,"orcid":63},"Mihai Bogdan","Bîndilă",{"paper_id":1460,"author_seq":218,"given_name":1476,"surname":1477,"affiliation":63,"orcid":63},"Sebastiaan","Hofstee",{"paper_id":1460,"author_seq":203,"given_name":923,"surname":1479,"affiliation":63,"orcid":63},"Szondy",{"paper_id":1460,"author_seq":188,"given_name":1481,"surname":1482,"affiliation":63,"orcid":63},"Quang-Hung","Nguyen",{"paper_id":1460,"author_seq":172,"given_name":1484,"surname":1485,"affiliation":63,"orcid":63},"Shenghui","Wang",{"paper_id":1460,"author_seq":155,"given_name":1487,"surname":1488,"affiliation":63,"orcid":63},"Gwenn","Englebienne","In this research, we propose a framework to generate human-like question-answer pairs with long or factoid answers automatically and, based on them, automatically evaluate the quality of Retrieval-Augmented Generation (RAG). Our framework can also create datasets that assess hallucination levels of Large Language Models (LLMs) by simulating unanswerable questions. We then apply the framework to create a dataset of question-answer (QA) pairs based on more than 1,000 leaflets about the medical and administrative procedures of a hospital. The dataset was evaluated by hospital specialists, who confirmed that more than 50% of the QA pairs are applicable. Finally, we show that our framework can be used to evaluate LLM performance by using Llama-2-13B fine-tuned in Dutch (Vanroy, 2023) with the generated dataset, and show the method’s use in testing models with regard to answering unanswerable and factoid questions appears promising.",{"paper_id":1491,"title":1492,"year":29,"month":856,"day":63,"doi":1493,"resource_url":1494,"first_page":1495,"last_page":1496,"pdf_url":1497,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1498,"paper_type":861,"authors":1499,"abstract":1527},"lrec2024-ws-cl4health-26","Speech Accommodation in Health-Care Interactions: Evidence Using a Mixed-Reality Platform","10.63317\u002F2qwnpwixqchv","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-26","215","219","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.26.pdf","baker-etal-2024-speech",[1500,1503,1506,1509,1512,1515,1518,1521,1524],{"paper_id":1491,"author_seq":247,"given_name":1501,"surname":1502,"affiliation":63,"orcid":63},"Rose","Baker",{"paper_id":1491,"author_seq":232,"given_name":1504,"surname":1505,"affiliation":63,"orcid":63},"Susan C.","Bobb",{"paper_id":1491,"author_seq":218,"given_name":1507,"surname":1508,"affiliation":63,"orcid":63},"Dai’Sha","Dowson",{"paper_id":1491,"author_seq":203,"given_name":1510,"surname":1511,"affiliation":63,"orcid":63},"Elisha","Eanes",{"paper_id":1491,"author_seq":188,"given_name":1513,"surname":1514,"affiliation":63,"orcid":63},"Makyah","McNeill",{"paper_id":1491,"author_seq":172,"given_name":1516,"surname":1517,"affiliation":63,"orcid":63},"Hannah","Ragsdale",{"paper_id":1491,"author_seq":155,"given_name":1519,"surname":1520,"affiliation":63,"orcid":63},"Audrey","Eaves",{"paper_id":1491,"author_seq":138,"given_name":1522,"surname":1523,"affiliation":63,"orcid":63},"Joseph G.","Lee",{"paper_id":1491,"author_seq":121,"given_name":1525,"surname":1526,"affiliation":63,"orcid":63},"Kathrin","Rothermich","Many people in the US use more than one language at home, yet English remains the dominant (L1) language in US society, which can complicate medical encounters. In this study we ask in what ways effective communication can be ensured in health care settings when speakers differ in language proficiency. One strategy people use is second language (L2) speech accommodation, which is characterized by slowed speech, less complex words, and clearer enunciation. We employ a mixed-reality platform called MURSION to document how a group of Physician Assistant students use speech accommodation during a healthcare encounter. MURSION is a computer-based virtual environment where participants interact with an Avatar controlled by a human interactor in a standardized environment. We record 5-minute interactions between the student and a high or low English proficiency Avatar. Our analyses evaluate lexical choices in L1-L2 interactions with SCOPE (South Carolina Psycholinguistic Metabase) and acoustic properties with PRAAT. Results show that clinical students use slower speech and high frequency words when speaking to a low proficiency virtual patient, indicating a sensitivity for the communicative needs of L2 English users. Speech accommodation results will contribute to communication training modules for clinicians to interact efficiently with linguistically diverse populations.",{"paper_id":1529,"title":1530,"year":29,"month":856,"day":63,"doi":1531,"resource_url":1532,"first_page":1533,"last_page":1534,"pdf_url":1535,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1536,"paper_type":861,"authors":1537,"abstract":1546},"lrec2024-ws-cl4health-27","Enhancing Consumer Health Question Reformulation: Chain-of-Thought Prompting Integrating Focus, Type, and User Knowledge Level","10.63317\u002F5368xyaaipqw","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-27","220","228","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.27.pdf","lee-etal-2024-enhancing",[1538,1540,1543],{"paper_id":1529,"author_seq":247,"given_name":1539,"surname":1523,"affiliation":63,"orcid":63},"Jooyeon",{"paper_id":1529,"author_seq":232,"given_name":1541,"surname":1542,"affiliation":63,"orcid":63},"Luan Huy","Pham",{"paper_id":1529,"author_seq":218,"given_name":1544,"surname":1545,"affiliation":63,"orcid":63},"Özlem","Uzuner","In this paper, we explore consumer health question (CHQ) reformulation, focusing on enhancing the quality of reformation of questions without considering interest shifts. Our study introduces the use of the NIH GARD website as a gold standard dataset for this specific task, emphasizing its relevance and applicability. Additionally, we developed other datasets consisting of related questions scraped from Google, Bing, and Yahoo. We augmented, evaluated and analyzed the various datasets, demonstrating that the reformulation task closely resembles the question entailment generation task. Our approach, which integrates the Focus and Type of consumer inquiries, represents a significant advancement in the field of question reformulation. We provide a comprehensive analysis of different methodologies, offering insights into the development of more effective and user-centric AI systems for consumer health support.",{"paper_id":1548,"title":1549,"year":29,"month":856,"day":63,"doi":1550,"resource_url":1551,"first_page":1552,"last_page":1553,"pdf_url":1554,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1555,"paper_type":861,"authors":1556,"abstract":1568},"lrec2024-ws-cl4health-28","Exploring the Challenges of Behaviour Change Language Classification: A Study on Semi-Supervised Learning and the Impact of Pseudo-Labelled Data","10.63317\u002F5g7dmmqtb9hx","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-28","229","239","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.28.pdf","meyer-etal-2024-exploring",[1557,1560,1563,1565],{"paper_id":1548,"author_seq":247,"given_name":1558,"surname":1559,"affiliation":63,"orcid":63},"Selina","Meyer",{"paper_id":1548,"author_seq":232,"given_name":1561,"surname":1562,"affiliation":63,"orcid":63},"Marcos","Fernandez-Pichel",{"paper_id":1548,"author_seq":218,"given_name":874,"surname":1564,"affiliation":63,"orcid":63},"Elsweiler",{"paper_id":1548,"author_seq":203,"given_name":1566,"surname":1567,"affiliation":63,"orcid":63},"David E.","Losada","Automatic classification of behaviour change language can enhance conversational agents’ capabilities to adjust their behaviour based on users’ current situations and to encourage individuals to make positive changes. However, the lack of annotated language data of change-seekers hampers the performance of existing classifiers. In this study, we investigate the use of semi-supervised learning (SSL) to classify highly imbalanced texts around behaviour change. We assess the impact of including pseudo-labelled data from various sources and examine the balance between the amount of added pseudo-labelled data and the strictness of the inclusion criteria. Our findings indicate that while adding pseudo-labelled samples to the training data has limited classification impact, it does not significantly reduce performance regardless of the source of these new samples. This reinforces previous findings on the feasibility of applying classifiers trained on behaviour change language to diverse contexts.",{"paper_id":1570,"title":1571,"year":29,"month":856,"day":63,"doi":1572,"resource_url":1573,"first_page":1574,"last_page":1575,"pdf_url":1576,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1577,"paper_type":861,"authors":1578,"abstract":1590},"lrec2024-ws-cl4health-29","Development of a Benchmark Corpus for Medical Device Adverse Event Detection","10.63317\u002F27gpkjch5tab","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-29","240","245","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.29.pdf","wunnava-etal-2024-development",[1579,1582,1584,1587],{"paper_id":1570,"author_seq":247,"given_name":1580,"surname":1581,"affiliation":63,"orcid":63},"Susmitha","Wunnava",{"paper_id":1570,"author_seq":232,"given_name":874,"surname":1583,"affiliation":63,"orcid":63},"Harris",{"paper_id":1570,"author_seq":218,"given_name":1585,"surname":1586,"affiliation":63,"orcid":63},"Florence T.","Bourgeois",{"paper_id":1570,"author_seq":203,"given_name":1588,"surname":1589,"affiliation":63,"orcid":63},"Timothy A.","Miller","The U.S. Food and Drug Administration (FDA) collects real-world adverse events, including device-associated deaths, injuries, and malfunctions, through passive reporting to the agency’s Manufacturer and User Facility Device Experience (MAUDE) database. However, this system’s full potential remains untapped given the extensive use of unstructured text in medical device adverse event reports and lack of FDA resources and expertise to properly analyze all available data. In this work, we focus on addressing this limitation through the development of an annotated benchmark corpus to support the design and development of state-of-the-art NLP approaches towards automatic extraction of device-related adverse event information from FDA Medical Device Adverse Event Reports. We develop a dataset of labeled medical device reports from a diverse set of high-risk device types, that can be used for supervised machine learning. We develop annotation guidelines and manually annotate for nine entity types. The resulting dataset contains 935 annotated adverse event reports, containing 12252 annotated spans across the nine entity types. The dataset developed in this work will be made publicly available upon publication.",{"paper_id":1592,"title":1593,"year":29,"month":856,"day":63,"doi":1594,"resource_url":1595,"first_page":1596,"last_page":1597,"pdf_url":1598,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1599,"paper_type":861,"authors":1600,"abstract":1607},"lrec2024-ws-cl4health-30","Using BART to Automatically Generate Discharge Summaries from Swedish Clinical Text","10.63317\u002F58aye5idiazw","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-30","246","252","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.30.pdf","berg-dalianis-2024-using",[1601,1604],{"paper_id":1592,"author_seq":247,"given_name":1602,"surname":1603,"affiliation":63,"orcid":63},"Nils","Berg",{"paper_id":1592,"author_seq":232,"given_name":1605,"surname":1606,"affiliation":63,"orcid":63},"Hercules","Dalianis","Documentation is a regular part of contemporary healthcare practices and one such documentation task is the creation of a discharge summary, which summarizes a care episode. However, to manually write discharge summaries is a time-consuming task, and research has shown that discharge summaries are often lacking quality in various respects. To alleviate this problem, text summarization methods could be applied on text from electronic health records, such as patient notes, to automatically create a discharge summary. Previous research has been conducted on this topic on text in various languages and with various methods, but no such research has been conducted on Swedish text. In this paper, four datasets extracted from a Swedish clinical corpora were used to fine-tune four BART language models to perform the task of summarizing Swedish patient notes into a discharge summary. Out of these models, the best performing model was manually evaluated by a senior, now retired, nurse and clinical coder. The evaluation results show that the best performing model produces discharge summaries of overall low quality. This is possibly due to issues in the data extracted from the Health Bank research infrastructure, which warrants further work on this topic.",{"paper_id":1609,"title":1610,"year":29,"month":856,"day":63,"doi":1611,"resource_url":1612,"first_page":1613,"last_page":1614,"pdf_url":1615,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1616,"paper_type":861,"authors":1617,"abstract":63},"lrec2024-ws-cl4health-31","Biomedical Entity Linking for Dutch: Fine-tuning a Self-alignment BERT Model on an Automatically Generated Wikipedia Corpus","10.63317\u002F4kyre5v29u5b","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-31","253","263","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.31.pdf","hartendorp-etal-2024-biomedical",[1618,1621,1624,1626],{"paper_id":1609,"author_seq":247,"given_name":1619,"surname":1620,"affiliation":63,"orcid":63},"Fons","Hartendorp",{"paper_id":1609,"author_seq":232,"given_name":1622,"surname":1623,"affiliation":63,"orcid":63},"Tom","Seinen",{"paper_id":1609,"author_seq":218,"given_name":909,"surname":1625,"affiliation":63,"orcid":63},"van Mulligen",{"paper_id":1609,"author_seq":203,"given_name":1627,"surname":1628,"affiliation":63,"orcid":63},"Suzan","Verberne",{"paper_id":1630,"title":1631,"year":29,"month":856,"day":63,"doi":1632,"resource_url":1633,"first_page":1634,"last_page":1635,"pdf_url":1636,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1637,"paper_type":861,"authors":1638,"abstract":1653},"lrec2024-ws-cl4health-32","Unveiling Voices: Identification of Concerns in a Social Media Breast Cancer Cohort via Natural Language Processing","10.63317\u002F5j6m6z5q867f","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-32","264","270","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.32.pdf","rajwal-etal-2024-unveiling",[1639,1643,1647,1650],{"paper_id":1630,"author_seq":247,"given_name":1640,"surname":1641,"affiliation":1642,"orcid":63},"Swati","Rajwal","Dept. of Biomedical Informatics, Emory University",{"paper_id":1630,"author_seq":232,"given_name":1644,"surname":1645,"affiliation":1646,"orcid":63},"Avinash Kumar","Pandey","Goizueta Business School, Emory University",{"paper_id":1630,"author_seq":218,"given_name":1648,"surname":1649,"affiliation":1646,"orcid":63},"Zhishuo","Han",{"paper_id":1630,"author_seq":203,"given_name":1651,"surname":1652,"affiliation":1642,"orcid":63},"Abeed","Sarker","We leveraged a dataset of ∼1.5 million Twitter (now X) posts to develop a framework for analyzing breast cancer (BC) patients’ concerns and possible reasons for treatment discontinuation. Our primary objectives were threefold: (1) to curate and collect data from a BC cohort; (2) to identify topics related to uncertainty\u002Fconcerns in BC-related posts; and (3) to conduct a sentiment intensity analysis of posts to identify and analyze negatively polarized posts. RoBERTa outperformed other models with a micro-averaged F1 score of 0.894 and a macro-averaged F1 score of 0.853 for (1). For (2), we used GPT-4 and BERTopic, and qualitatively analyzed posts under relevant topics. For (3), sentiment intensity analysis of posts followed by qualitative analyses shed light on potential reasons behind treatment discontinuation. Our work demonstrates the utility of social media mining to discover BC patient concerns. Information derived from the cohort data may help design strategies in the future for increasing treatment compliance.",{"paper_id":1655,"title":1656,"year":29,"month":856,"day":63,"doi":1657,"resource_url":1658,"first_page":1659,"last_page":1660,"pdf_url":1661,"poster_url":63,"slide_url":63,"video_url":63,"supplementary_url":63,"bibkey":1662,"paper_type":861,"authors":1663,"abstract":1673},"lrec2024-ws-cl4health-33","Intent Detection and Entity Extraction from Biomedical Literature","10.63317\u002F4t785tnxovxp","https:\u002F\u002Flrec.elra.info\u002Flrec2024-ws-cl4health-33","271","278","http:\u002F\u002Fwww.lrec-conf.org\u002Fproceedings\u002Flrec-coling-2024\u002Fpolp\u002Fpdf\u002F2024.cl4health-1.33.pdf","mullick-etal-2024-intent",[1664,1667,1670],{"paper_id":1655,"author_seq":247,"given_name":1665,"surname":1666,"affiliation":63,"orcid":63},"Ankan","Mullick",{"paper_id":1655,"author_seq":232,"given_name":1668,"surname":1669,"affiliation":63,"orcid":63},"Mukur","Gupta",{"paper_id":1655,"author_seq":218,"given_name":1671,"surname":1672,"affiliation":63,"orcid":63},"Pawan","Goyal","Biomedical queries have become increasingly prevalent in web searches, reflecting the growing interest in accessing biomedical literature. Despite recent research on large-language models (LLMs) motivated by endeavors to attain generalized intelligence, their efficacy in replacing task and domain-specific natural language understanding approaches remains questionable. In this paper, we address this question by conducting a comprehensive empirical evaluation of intent detection and named entity recognition (NER) tasks from biomedical text. We show that Supervised Fine Tuned approaches are still relevant and more effective than general-purpose LLMs. Biomedical transformer models such as PubMedBERT can surpass ChatGPT on NER task with only 5 supervised examples."]