Summary of the paper

Title An AI-inspired intelligent agent/student architecture to combine Language Resources research and teaching
Authors Bayan Abu Shawar and Eric Atwell
Abstract This paper describes experimental use of the multi-agent architecture to integrate Natural Language and Information Systems research and teaching, by casting a group of students as intelligent agents to collect and analyse English language resources from around the world. Section 2 and section 3 describe the hybrid intelligent information systems experiments at the University of Leeds and the results generated, including several research papers accepted at international conferences, and a finalist entry in the British Computer Society Machine Intelligence contest. Our proposals for applying the multi-agent idea in other universities such as the Arab Open University are presented in section 4. The conclusion is presented in section 5: the success of hybrid intelligent information systems experiments in generating research papers within a limited time.
Language Single language
Topics Document Classification, Text categorisation, Corpus (creation, annotation, etc.), Tools, systems, applications
Full paper An AI-inspired intelligent agent/student architecture to combine Language Resources research and teaching
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Bibtex @InProceedings{ABUSHAWAR08.777,
  author = {Bayan Abu Shawar and Eric Atwell},
  title = {An AI-inspired intelligent agent/student architecture to combine Language Resources research and teaching},
  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}
  }

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