The generic information extraction system

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The generic information extraction system

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Message Understanding Conference archive
Proceedings of the 5th conference on Message understanding table of contents

Baltimore, Maryland

SESSION: Systems table of contents

Pages: 87 - 91

Year of Publication: 1993

ISBN:1-55860-336-0

Author

Jerry R. Hobbs

SRI International, Menlo Park, CA

Publisher

Association for Computational Linguistics Morristown, NJ, USA

Bibliometrics

Downloads (6 Weeks): 3, Downloads (12 Months): 37, Citation Count: 14

Additional Information:

abstract cited by collaborative colleagues

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DOI Bookmark:	10.3115/1072017.1072029

ABSTRACT

An information extraction system is a cascade of transducers or modules that at each step add structure and often lose information, hopefully irrelevant, by applying rules that are acquired manually and/or automatically.

CITED BY 14

	Khalid Al-Kofahi , Brian Grom , Peter Jackson, Anaphora resolution in the extraction of treatment history language from court opinions by partial parsing, Proceedings of the 7th international conference on Artificial intelligence and law, p.138-146, June 14-17, 1999, Oslo, Norway
	Scott B. Huffman, Learning to extract information from text based on user-provided examples, Proceedings of the fifth international conference on Information and knowledge management, p.154-163, November 12-16, 1996, Rockville, Maryland, United States
	Peter Jackson , Khalid Al-Kofahi , Alex Tyrrell , Arun Vachher, Information extraction from case law and retrieval of prior cases, Artificial Intelligence, v.150 n.1-2, p.239-290, November 2003
	Jeremy Crowe, Constraint-based event recognition for information extraction, Proceedings of the 33rd annual meeting on Association for Computational Linguistics, June 26-30, 1995, Cambridge, Massachusetts
	Damaris M. Ayuso, Pattern matching in a linguistically-motivated text understanding system, Proceedings of the workshop on Human Language Technology, March 08-11, 1994, Plainsboro, NJ
	Dekang Lin, University of Manitoba: description of the NUBA system as used for MUC-5, Proceedings of the 5th conference on Message understanding, August 25-27, 1993, Baltimore, Maryland
	John Aberdeen , John Burger , Dennis Connolly , Susan Roberts , Marc Vilain, Mitre-Bedford: description of the Alembic system as used for MUC-5, Proceedings of the 5th conference on Message understanding, August 25-27, 1993, Baltimore, Maryland
	Mary Ellen Okurowski, Information extraction overview, Proceedings of a workshop on held at Fredericksburg, Virginia: September 19-23, 1993, September 19-23, 1993, Fredericksburg, Virginia
	Jordi Turmo , Alicia Ageno , Neus Català, Adaptive information extraction, ACM Computing Surveys (CSUR), v.38 n.2, p.4-es, 2006
	J. Turmo , N. Català , H. Rodríguez, An Adaptable IE System to New Domains, Applied Intelligence, v.10 n.2-3, p.225-246, March-April 1999
	Chris Mellish , Roger Evans, Implementation architectures for natural language generation, Natural Language Engineering, v.10 n.3-4, p.261-282, September 2004
	Hamish Cunningham, A definition and short history of Language Engineering, Natural Language Engineering, v.5 n.1, p.1-16, March 1999
	J. Turmo , H. Rodriguez, Learning rules for information extraction, Natural Language Engineering, v.8 n.3, p.167-191, June 2002
	Yorick Wilks , Christopher Brewster, Natural Language Processing as a Foundation of the Semantic Web, Foundations and Trends in Web Science, v.1 n.3$#8211;4, p.199-327, March 2009

Collaborative Colleagues:

Jerry R. Hobbs: colleagues

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