Named entity extraction based on a maximum entropy model and transformation rules

Proceedings of the Annual Meeting of the Association for Computational Linguistics

Volumn 2000-October, Issue , 2000, Pages

  Uchimoto, Kiyotaka ^a   Ma, Qing ^a   Murata, Masaki ^a   Ozaku, Hiromi ^a   Isahara, Hitoshi ^a  

^a Ministry of Posts and Telecommunications   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ENTROPY; NATURAL LANGUAGE PROCESSING SYSTEMS;

MAXIMUM ENTROPY MODELS; NAMED ENTITIES; NAMED ENTITY EXTRACTION; SUB-STRINGS; TRANSFORMATION RULES;

EXTRACTION;

EID: 85048736956     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. John Aberdeen, John Burger, David Day, Lynette Hirschman, Patricia Robinson, and Marc Vilain. 1995. MITRE: Description of the ALEMBIC System used for MUC-6. In Proceedings of the Sixth Message Understanding Conference (MUC-6), pages 141-155.
2. Adam L. Berger, Stephen A. Delia Pietra, and Vincent J. Delia Pietra. 1996. A Maximum Entropy Approach to Natural Language Processing. Computational Linguistics, 22(1):39-71.
3. Daniel M. Bikel, Scott Miller, Richard Schwartz, and Ralph Weischedel. 1997. Nymble: a High-Performance Learning Name-finder. In Proceedings of the Fifth Conference on Applied Natural Language Processing, pages 194-201.
4. Andrew Borthwick, John Sterling, Eugene Agichtein, and Ralph Grishman. 1998a. Exploiting Diverse Knowledge Sources via Maximum Entropy in Named Entity Recognition. In Proceedings of the Sixth Workshop on Very Large Corpora, pages 152-160.
5. Andrew Borthwick, John Sterling, Eugene Agichtein, and Ralph Grishman. 1998b. NYU: Description of the MENE Named Entity System as Used in MUC-7. In Proceedings of the Seventh Message Understanding Conference (MUC-7). http://www.muc.saic.com/.
6. Andrew Borthwick. 1999. A Japanese Named Entity Recognizer Constructed by a Non-Speaker of Japanese. In Proceedings of the IREX Workshop, pages 187-193.
7. Eric Brill. 1995. Transformation-Based Error-Driven Learning and Natural Language Processing: A Case Study in Part-of-Speech Tagging. Computational Linguistics, 21(4):543-565.
8. Jim Cowie. 1995. CRL/NMSU Description of the CRL/NMSU System Used for MUC-6. In Proceedings of the Sixth Message Understanding Conference (MUC-6), pages 157-166.
9. IREX Executive Committee. 1999. IREX homepage. http://cs.nyu.edu/cs/projects/proteus/irex/.
10. Sadao Kurohashi and Makoto Nagao, 1998. Japanese Morphological Analysis System JUMAN Version 3.6. Department of Informatics, Kyoto University.
11. Dekang Lin. 1998. Using Collocation Statistics in Information Extraction. In Proceedings of the Seventh Message Understanding Conference (MUC-7). http://www.muc.saic.com/.
12. Scott Miller, Michael Crystal, Heidi Fox, Lance Ramshaw, Richard Schwartz, Rebecca Stone, Ralph Weischedel, and the Annotation Group. 1998. Algorithms that Learn to Extract Information BBN: Description of the Sift System as Used for MUC-7. In Proceedings of the Seventh Message Understanding Conference (MUC-7). http://www.muc.saic.com/.
13. Chikashi Nobata. 1999. Named Entity Tagging System Based on a Decision Tree Model. In Proceedings of the IREX Workshop, pages 201-206. (in Japanese).
14. Adwait Ratnaparkhi. 1996. A Maximum Entropy Model for Part-Of-Speech Tagging. In Conference on Empirical Methods in Natural Language Processing, pages 133-142.
15. Adwait Ratnaparkhi. 1997. A Linear Observed Time Statistical Parser Based on Maximum Entropy Models. In Conference on Empirical Methods in Natural Language Processing.
16. SAIC. 1998. MUC homepage, http://www.muc.saic. com/.
17. Satoshi Sekine, Ralph Grishman, and Hiroyuki Shin-nou. 1998. A Decision Tree Method for Finding and Classifying Names in Japanese Texts. In Proceedings of the Sixth Workshop on Very Large Corpora, pages 171-178.
18. Satoshi Sekine. 1999. Satoshi Sekine homepage. http://www.cs.nyu.edu/cs/projects/proteus/sekine/.
19. Hiroyuki Shinnou. 1999. Extraction of Proper Nouns through Extended Character Based HMM. In Proceedings of the IREX Workshop, pages 151-157. (in Japanese).
20. Kiyotaka Uchimoto, Satoshi Sekine, and Hitoshi Isa-hara. 1999. Japanese Dependency Structure Analysis Based on Maximum Entropy Models. In Proceedings of the Ninth Conference of the European Chapter of the Association for Computational Linguistics (EACL'99), pages 196-203.