Japanese dependency structure analysis based on maximum entropy models

9th Conference of the European Chapter of the Association for Computational Linguistics, EACL 1999

Volumn , Issue , 1999, Pages 196-203

  Uchimoto, Kiyotaka ^a   Sekine, Satoshi ^b   Isahara, Hitoshi ^a  

^a Ministry of Posts and Telecommunications   (Japan)

^b NEW YORK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DEPENDENCY STRUCTURES; FEATURES SETS; MAXIMUM ENTROPY MODELS; SENTENCE-BASED; STRUCTURE ANALYSIS; TRAINING CORPUS; TRAINING DATA;

EID: 85121237112     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Adam Berger and Harry Printz. 1998. A comparison of criteria for maximum entropy/minimum divergence feature selection. Proceedings of Third Conference on Empirical Methods in Natural Language Processing, pages 97-106.
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. Michael Collins. 1996. A new statistical parser based on bigram lexical dependencies. Proceedings of the 34th Annual Meeting of the Association for Computational Linguistics (ACL), pages 184-191.
4. Terumasa Ehara. 1998. Japanese bunsetsu dependency estimation using maximum entropy method. Proceedings of The Fourth Annual Meeting of The Association for Natural Language Processing, pages 382-385. (in Japanese).
5. Masakazu Fujio and Yuuji Matsumoto. 1998. Japanese dependency structure analysis based on lexicalized statistics. Proceedings of Third Conference on Empirical Methods in Natural Language Processing, pages 87-96.
6. Katsuhiko Fujita. 1988. A deterministic parser based on karari-uke grammar, pages 399-402.
7. Masahiko Haruno, Satoshi Shirai, and Yoshifumi Ooyama. 1998. Using decision trees to construct a practical parser. Proceedings of the COLING-ACL '98.
8. Akira Kitauchi, Takehito Utsuro, and Yuji Matsumoto. 1998. Error-driven model learning of Japanese morphological analysis. IPSJ-WGNL, NL124-6:41-48. (in Japanese).
9. Sadao Kurohashi and Makoto Nagao. 1997. Kyoto university text corpus project, pages 115-118. (in Japanese).
10. Sadao Kurohashi and Makoto Nagao, 1998. Japanese Morphological Analysis System JU-MAN version 3.5. Department of Informatics, Kyoto University.
11. Masaki Murata, Kiyotaka Uchimoto, Qing Ma, and Hitoshi Isahara. 1998. Machine learning approach to bunsetsu identification - comparison of decision tree, maximum entropy model, example-based approach, and a new method using category-exclusive rules -. IPSJ-WGNL, NL128-4:23-30. (in Japanese).
12. Adwait Ratnaparkhi. 1997. A linear observed time statistical parser based on maximum entropy models. Conference on Empirical Methods in Natural Language Processing.
13. Eric Sven Ristad. 1998. Maximum entropy modeling toolkit, release 1.6 beta. http://www.mnemonic.com/software/memt.
14. Kiyoaki Shirai, Kentaro Inui, Takenobu Tokunaga, and Hozumi Tanaka. 1998a. Learning dependencies between case frames using maximum entropy method, pages 356-359. (in Japanese).
15. Kiyoaki Shirai, Kentaro Inui, Takenobu Tokunaga, and Hozumi Tanaka. 1998b. A framework of integrating syntactic and lexical statistics in statistical parsing. Journal of Natural Language Processing, 5(3):85-106. (in Japanese).