An AI-inspired intelligent agent/student architecture to combine Language Resources research and teaching

Bayan Abu Shawar, 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.
Anthology ID:
L08-1409
Volume:
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)
Month:
May
Year:
2008
Address:
Marrakech, Morocco
Editors:
Nicoletta Calzolari, Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2008/pdf/777_paper.pdf
DOI:
Bibkey:
Cite (ACL):
Bayan Abu Shawar and Eric Atwell. 2008. An AI-inspired intelligent agent/student architecture to combine Language Resources research and teaching. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08), Marrakech, Morocco. European Language Resources Association (ELRA).
Cite (Informal):
An AI-inspired intelligent agent/student architecture to combine Language Resources research and teaching (Shawar & Atwell, LREC 2008)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2008/pdf/777_paper.pdf