Description of the UMass system as used for MUC-6

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.

REFERENCES

• 1: 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.
• 2: 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.
• 3: 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.
• 4: Wendy Lehnert , Claire Cardie , David Fisher , Ellen Riloff , Robert Williams, University of Massachusetts: MUC-3 test results and analysis, Proceedings of the 3rd conference on Message understanding, May 21-23, 1991, San Diego, California [doi>10.3115/1071958.1071978]
• 5: W. Lehnert , C. Cardie , D. Fisher , J. McCarthy , E. Riloff , S. Soderland, University of Massachusetts: MUC-4 test results and analysis, Proceedings of the 4th conference on Message understanding, June 16-18, 1992, McLean, Virginia [doi>10.3115/1072064.1072087]
• 6: W. Lehnert , J. McCarthy , S. Soderland , E. Riloff , C. Cardie , J. Peterson , F. Feng , C. Dolan , S. Goldman, UMass/Hughes: description of the CIRCUS system used for MUC-5, Proceedings of the 5th conference on Message understanding, August 25-27, 1993, Baltimore, Maryland [doi>10.3115/1072017.1072043]
• 7: 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.
• 8: 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.
• 9: J. Ross Quinlan, C4.5: programs for machine learning, Morgan Kaufmann Publishers Inc., San Francisco, CA, 1993
• 10: Riloff, E. "Automatically Constructing a Dictionary for Information Extraction Tasks", in Proceedings of the Eleventh Annual Conference for Artificial Intelligence. pp. 811--816. 1993.
• 11: 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.
• 12: 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.
• 13: 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.
• 14: 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.
• 15: Stephen Soderland , Wendy Lehnert, Corpus-driven knowledge acquisition for discourse analysis, Proceedings of the twelfth national conference on Artificial intelligence (vol. 1), p.827-832, October 1994, Seattle, Washington, United States
• 16: 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.