Summary of the paper
| Title | Extracting and Querying Relations in Scientific Papers on Language Technology |
|---|---|
| Authors | Ulrich Schäfer, Hans Uszkoreit, Christian Federmann, Torsten Marek and Yajing Zhang |
| Abstract | We describe methods for extracting interesting factual relations from scientific texts in computational linguistics and language technology taken from the ACL Anthology. We use a hybrid NLP architecture with shallow preprocessing for increased robustness and domain-specific, ontology-based named entity recognition, followed by a deep HPSG parser running the English Resource Grammar (ERG). The extracted relations in the MRS (minimal recursion semantics) format are simplified and generalized using WordNet. The resulting “quriples” are stored in a database from where they can be retrieved (again using abstraction methods) by relation-based search. The query interface is embedded in a web browser-based application we call the Scientist’s Workbench. It supports researchers in editing and online-searching scientific papers. |
| Language | Single language |
| Topics | Information Extraction, Information Retrieval, Parsing Systems, Semantic Web |
Full paper |
Extracting and Querying Relations in Scientific Papers on Language Technology |
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| Bibtex | @InProceedings{SCHFER08.773, author = {Ulrich Schäfer, Hans Uszkoreit, Christian Federmann, Torsten Marek and Yajing Zhang}, title = {Extracting and Querying Relations in Scientific Papers on Language Technology}, booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)}, year = {2008}, month = {may}, date = {28-30}, address = {Marrakech, Morocco}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-4-0}, note = {http://www.lrec-conf.org/proceedings/lrec2008/}, language = {english} } |