CRL/Brandeis: description of the Diderot system as used for MUC-5

ABSTRACT

This report describes the major developments over the last six months in completing the Diderot information extraction system for the MUC-5 evaluation.Diderot is an information extraction system built at CRL and Brandeis University over the past two years. It was produced as part of our efforts in the Tipster project. The same overall system architecture has been used for English and Japanese and for the micro-electronics and joint venture domains.The past history of the system is discussed and the operation of its major components described. A summary of scores at the 24 month workshop is given and the performance of the system on the texts selected for the system walkthrough is discussed.

REFERENCES

• 1: DARPA. Proceedings of the Third Message Understanding Conference (MUC-3), San Mateo, CA, 1991. Morgan Kaufmann.
• 2: DARPA. Proceedings of the Fourth Message Understanding Conference (MUC-4), San Mateo, CA, 1992. Morgan Kaufmann.
• 3: Cowie, J., Guthrie, L., Wakao, T., Jin, W., Pustejovsky, J. and Waterman, S., The Diderot Information Extraction System. In Proceedings of the First Conference of the Pacific Association for Computational Linguistics (PACLING93), Vancouver, Canada, 1993.
• 4: Ralph Grishman , John Sterling, Acquisition of selectional patterns, Proceedings of the 14th conference on Computational linguistics, August 23-28, 1992, Nantes, France [doi>10.3115/992133.992172]
• 5: Guthrie, L., Bruce, R., Stein, G. C., and Weng, F., Development of an application independent lexicon: Lexbase. Technical Report MCCS-92-247, Computing Research Laboratory, New Mexico State University, 1992.
• 6: Guthrie, L., and Walker, E., Some comments on classification by machine. Technical Report MCCS-92-935, Computing Research Laboratory, New Mexico State University, 1992.
• 7: Wendy Lehnert , Beth Sundheim, An evaluation of text analysis technologies, AI Magazine, v.12 n.3, p.81-94, Fall 1991
• 8: Proctor, P., editor. Longman Dictionary of Contemporary English. Longman, Harlow, 1978.
• 9: James Pustejovsky, The generative lexicon, Computational Linguistics, v.17 n.4, p.409-441, December 1991
• 10: Pustejovsky, J., The acquisition of lexical semantic knowledge from large corpora. In Proceedings of the DARPA Spoken and Written Language Workshop. Morgan Kaufmann, 1992.
• 11: James Pustejovsky , Peter Anick , Sabine Bergler, Lexical semantic techniques for corpus analysis, Computational Linguistics, v.19 n.2, June 1993
• 12: James Pustejovsky , Branimir Boguraev, Lexical knowledge representation and natural language processing, Artificial Intelligence, v.63 n.1-2, p.193-223, Oct. 1993 [doi>10.1016/0004-3702(93)90017-6]
• 13: Pustejovsky, J., The Generative Lexicon: A Computational Theory of Lexical Semantics MIT Press, Cambridge, MA, 1994.
• 14: Yves Schabes , Stuart M. Shieber, An alternative conception of tree-adjoining derivation, Proceedings of the 30th annual meeting on Association for Computational Linguistics, p.167-176, June 28-July 02, 1992, Newark, Delaware [doi>10.3115/981967.981989]