| Nymble: a high-performance learning name-finder |
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Applied Natural Language Conferences
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Proceedings of the fifth conference on Applied natural language processing
table of contents
Washington, DC
Pages: 194 - 201
Year of Publication: 1997
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Authors
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Association for Computational Linguistics
Morristown, NJ, USA
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Downloads (6 Weeks): n/a, Downloads (12 Months): n/a, Citation Count: 116
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 ABSTRACT
This paper presents a statistical, learned approach to finding names and other nonrecursive entities in text (as per the MUC-6 definition of the NE task), using a variant of the standard hidden Markov model. We present our justification for the problem and our approach, a detailed discussion of the model itself and finally the successful results of this new approach.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Aberdeen, J., Burger, J., Day, D., Hirschman, L., Robinson, P. and Vilain, M. (1995) In Proceedings of the Sixth Message Understanding Conference (MUC-6) Morgan Kaufmann Publishers, Inc., Columbia, Maryland, pp. 141--155.
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Viterbi, A. J. (1967) IEEE Transactions on Information Theory, IT-13(2), 260--269.
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Weischedel, R. (1995) In Proceedings of the Sixth Message Understanding Conference (MUC-6) Morgan Kaufmann Publishers, Inc., Columbia, Maryland, pp. 55--69.
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CITED BY 116
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Scott Miller , Michael Crystal , Heidi Fox , Lance Ramshaw , Richard Schwartz , Rebecca Stone , Ralph Weischedel, Algorithms that learn to extract information: BBN: TIPSTER phase III, Proceedings of a workshop on held at Baltimore, Maryland: October 13-15, 1998, October 13-15, 1998, Baltimore, Maryland
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Scott Miller , Heidi Fox , Lance Ramshaw , Ralph Weischedel, A novel use of statistical parsing to extract information from text, Proceedings of the first conference on North American chapter of the Association for Computational Linguistics, p.226-233, April 29-May 04, 2000, Seattle, Washington
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James Mayfield , Paul McNamee , Christine Piatko , Claudia Pearce, Lattice-based tagging using support vector machines, Proceedings of the twelfth international conference on Information and knowledge management, November 03-08, 2003, New Orleans, LA, USA
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Dan Klein , Joseph Smarr , Huy Nguyen , Christopher D. Manning, Named entity recognition with character-level models, Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003, p.180-183, May 31, 2003, Edmonton, Canada
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Helen Meng , Berlin Chen , Sanjeev Khudanpur , Gina-Anne Levow , Wai-Kit Lo , Douglas Oard , Patrick Schone , Karen Tang , Hsin-Min Wang , Jianqiang Wang, Mandarin-English Information (MEI): investigating translingual speech retrieval, Proceedings of the first international conference on Human language technology research, p.1-7, March 18-21, 2001, San Diego
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Cheng Niu , Wei Li , Jihong Ding , Rohini K. Srihari, Bootstrapping for named entity tagging using concept-based seeds, Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers, p.73-75, May 27-June 01, 2003, Edmonton, Canada
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Cheng Niu , Wei Li , Jihong Ding , Rohini K. Srihari, A bootstrapping approach to named entity classification using successive learners, Proceedings of the 41st Annual Meeting on Association for Computational Linguistics, p.335-342, July 07-12, 2003, Sapporo, Japan
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David Miller , Sean Boisen , Richard Schwartz , Rebecca Stone , Ralph Weischedel, Named entity extraction from noisy input: speech and OCR, Proceedings of the sixth conference on Applied natural language processing, p.316-324, April 29-May 04, 2000, Seattle, Washington
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