A simple WWW-based method for semantic word class acquisition

International Conference Recent Advances in Natural Language Processing, RANLP

Volumn 2005-January, Issue , 2005, Pages 493-500

  Shinzato, Keiji ^a   Torisawa, Kentaro ^a  

^a JAPAN ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

HTML; SEARCH ENGINES; WORLD WIDE WEB;

HIT COUNT; HTML DOCUMENTS; SIMPLE METHOD; SIMPLE++;

SEMANTICS;

EID: 84962636944     PISSN: 13138502     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. (Church & Hanks 89) Kenneth Ward Church and Patrick Hanks. Word association norms, mutual information, and lexicography. In Proceedings of the 27th AnnualMeeting of the Association for Computational Linguistics, pages 76-83, 1989.
2. (Hindle 90) Donald Hindle. Noun classification from predicate-argument structures. In Proceedings of the 28th Annual Meeting of the Association for Computational Linguistics, pages 268-275, 1990.
3. (Ikehara et al. 97) Satoru Ikehara, Miyazaki Masahiro, Shirai Satoshi, Yokoo Akio, Nakaiwa Hiromi, Ogura Kentaro, Ooyama Yoshihumi, and Hayashi Yoshihiko. Nihongo Goi Taikei - A Japanese Lexicon. Iwanami Syoten, 1997.
4. (Landis & Koch 77) J.R. Landis and G.G. Koch. The measurement of observer agreement for categorical data. In Biometrics 33, pages 159-174, 1977.
5. (Lin 98) Dekang Lin. Automatic retrieval and clustering of similar words. In Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, pages 768-774, 1998.
6. (Pantel & Lin 02) Patrick Pantel and Dekang Lin. Discovering word senses from text. In SIGKDD-02, pages 613-619, 2002.
7. (Shinzato & Torisawa 04) Keiji Shinzato and Kentaro Torisawa. Acquiring hyponymy relations from web documents. In Human Language Technology conference/North American chapter of the Association for Computational Linguistics annual meeting, pages 73- 80, 2004.
8. (Vapnik 95) Vladimir Vapnik. The Nature of Statistical Learning Theory. Springer, 1995.