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UMass/Hughes: description of the CIRCUS system used for Tipster text

Published: 23 September 1993 Publication History

Abstract

The primary goal of our effort is the development of robust and portable language processing capabilities for information extraction applications. The system under evaluation here is based on language processing components that have demonstrated strong performance capabilities in previous evaluations [Lehnert et al. 1992a]. Having demonstrated the general viability of these techniques, we are now concentrating on the practicality of our technology by creating trainable system components to replace hand-coded data and manually-engineered software.

References

[1]
Cardie, C. (1993). A Case-Based Approach to Knowledge Acquisition for Domain-Specific Sentence Analysis. Eleventh National Conference on Artificial Intelligence (AAAI-93). Washington, D.C. pp. 798--803.
[2]
Dolan, C. P., Goldman, S. R., Cuda, T. V., & Nakamura, A. M. (1991). Hughes Trainable Text Skimmer: Description of the TTS System as Used for MUC-3. In B. Sundheim (Ed.), Third Message Understanding Conference (MUC-3). Naval Ocean Systems Center, San Diego California: Morgan Kaufmann. pp. 155--162.
[3]
Lehnert, W. (1991). Symbolic/Subsymbolic Sentence Analysis: Exploiting the Best of Two Worlds. Advances in Connectionist and Neural Computation Theory. Vol. I (ed: J. Pollack and J. Barnden) Ablex Publishing, Norwood, New Jersey. pp. 135--164.
[4]
Lehnert, W., Cardie, C., Fisher, D., McCarthy, J., Riloff, E., Soderland, S. (1992a). University of Massachusetts: MUC-4 Text Results and Analysis Proceedings of the Fourth Message Understanding Conference (MUC-4). Morgan Kaufmann. San Mateo, CA. pp. 151--158.
[5]
Lehnert, W., Cardie, C., Fisher, D., McCarthy, J., Riloff, E., Soderland, S. (1992b). Description of the CIRCUS system as Used for MUC-4. Proceedings of the Fourth Message Understanding Conference (MUC-4). Morgan Kaufmann. San Mateo, CA. pp. 282--288.
[6]
Quinlan, J. R. (1983). Learning Efficient Classification Procedures and Their Application to Chess End Games. In R. S. Michalski, J. G. Carbonell, & T. M. Mitchell (Eds.), Machine Learning: An Artificial Intelligence Approach. Morgan Kaufmann. pp. 463--482.
[7]
Riloff, E. (1993). Automatically Constructing a Dictionary for Information Extraction Tasks. Eleventh National Conference on Artificial Intelligence (AAAI-93). Washington, D.C. pp. 811--816.
[8]
Riloff E., and Lehnert, W. (1993). Automated Dictionary Construction for Information Extraction from Text. Proceedings of the Ninth IEEE Conference on Artificial Intelligence for Applications. IEEE Computer Society Press. pp. 93--99.

Cited By

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  • (2011)Link-based hidden attribute discovery for objects on WebProceedings of the 14th International Conference on Extending Database Technology10.1145/1951365.1951421(473-484)Online publication date: 21-Mar-2011
  • (2008)Information ExtractionFoundations and Trends in Databases10.1561/19000000031:3(261-377)Online publication date: 1-Mar-2008

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cover image DL Hosted proceedings
TIPSTER '93: Proceedings of a workshop on held at Fredericksburg, Virginia: September 19-23, 1993
September 1993
276 pages

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Association for Computational Linguistics

United States

Publication History

Published: 23 September 1993

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View all
  • (2011)Link-based hidden attribute discovery for objects on WebProceedings of the 14th International Conference on Extending Database Technology10.1145/1951365.1951421(473-484)Online publication date: 21-Mar-2011
  • (2008)Information ExtractionFoundations and Trends in Databases10.1561/19000000031:3(261-377)Online publication date: 1-Mar-2008

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