David Fisher
ABSTRACT
Information extraction research at the University of Massachusetts is based on portable, trainable language processing components. Some components are more effective than others, some have been under development longer than others, but in all cases, we are working to eliminate manual knowledge engineering. Although UMass has participated in previous MUC evaluations, all of our information extraction software has been redesigned and rewritten since MUC-5, so we are evaluating a completely new system this year.
- Aronow, D. B., S. Soderland, J. M. Ponte, F. Feng, W. B. Croft and W. G. Lehnert, "Automated Classification of Encounter Notes in a Computer Based Medical Record", the 8th World Congress on Medical Informatics, 8:8--12, 1994.]]Google Scholar
- Lehnert, W. G., "Cognition, Computers and Car Bombs: How Yale Prepared Me for the 90's", in Beliefs, Reasoning, and Decision Making: Psycho-logic in Honor of Bob Abelson (eds: Schank & Langer), Lawrence Erlbaum Associates, Hillsdale, NJ. pp. 143--173. 1994.]]Google Scholar
- Lehnert, W. G., C. Cardie, D. Fisher, J. McCarthy, E. Riloff and S. Soderland, "Evaluating an Information Extraction System," Journal of Integrated Computer-Aided Engineering. 1(6), pp. 453--472. 1995.]]Google ScholarCross Ref
- Lehnert, W., C. Cardie, D. Fisher, E. Riloff, and R. Williams, "University of Massachusetts: MUC-3 Test Results and Analysis," in Proceedings of the Third Message Understanding Conference, pp. 116--119. 1991.]] Google ScholarDigital Library
- Lehnert, W., C. Cardie, D. Fisher, J. McCarthy, E. Riloff, and S. Soderland, "University of Massachusetts: MUC-4 Test Results and Analysis," in Proceedings of the Fourth Message Understanding Conference, pp. 151--158. 1992.]] Google ScholarDigital Library
- Lehnert, W., J. McCarthy, S. Soderland, E. Riloff, C. Cardie, J. Peterson, F. Feng, C. Dolan and S. Goldman, "UMass/Hughes: Description of the CIRCUS System as Used for MUC-5," in Proceedings of the Fifth Message Understanding Conference, pp. 277--291. 1993.]] Google ScholarDigital Library
- Lehnert, W., S. Soderland, D. Aronow, F. Feng, and A. Shmueli, "Inductive Text Classification for Medical Applications", in Journal for Experimental and Theoretical Artificial Intelligence (JETAI). 7(1), pp. 49--80, 1995.]]Google ScholarCross Ref
- McCarthy, J., and W. Lehnert, "Using Decision Trees for Coreference Resolution", in Proceedings of the International Joint Conference on Artificial Intelligence, Montreal, Canada. pp. 1050--1055. 1995.]] Google ScholarDigital Library
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- Riloff, E. "Automatically Constructing a Dictionary for Information Extraction Tasks", in Proceedings of the Eleventh Annual Conference for Artificial Intelligence. pp. 811--816. 1993.]]Google Scholar
- Riloff, E., and Lehnert, W. G., "A Dictionary Construction Experiment with Domain Experts", in Proceedings of the TIPSTER Text Program (Phase 1), pp. 257--259. 1993.]] Google ScholarDigital Library
- Riloff E., and W. Lehnert, "Automated Dictionary Construction for Information Extraction from Text," in Proceedings of the Ninth IEEE Conference on Artificial Intelligence for Applications. IEEE Computer Society Press, pp. 93--99. 1993.]]Google Scholar
- Soderland, W., D. Fisher, J. Aseltine, and W. Lehnert, "CRYSTAL: Inducing a Conceptual Dictionary", in Proceedings of the International Joint Conference on Artificial Intelligence, Montreal, Canada. pp. 1314--1319. 1995.]] Google ScholarDigital Library
- Soderland, S., and W. Lehnert, "Learning Domain-Specific Discourse Rules for Information Extraction", in the Proceedings of the AAAI 1995 Spring Symposium on Empirical Methods in Discourse Interpretation and Generation, pp. 143--148, Stanford, CA. 1995.]]Google Scholar
- Soderland, S., and W. Lehnert, "Corpus-Driven Knowledge Acquisition for Discourse Analysis", Proceedings of the Twelfth National Conference for Artificial Intelligence. pp. 827--832. 1994.]] Google ScholarDigital Library
- Soderland, S., and W. Lehnert, "Wrap-Up: a Trainable Discourse Module for Information Extraction", in The Journal of Artificial Intelligence Research (JAIR). pp. 131--158. 1994.]]Google Scholar
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