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 |
Slides |
- |
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}
} |