Noun-phrase co-occurrence statistics for semi-automatic semantic lexicon construction

Proceedings of the Annual Meeting of the Association for Computational Linguistics

Volumn 2, Issue , 1998, Pages 1110-1116

  Roark, Brian ^a   Charniak, Eugene ^b  

^a BROWN UNIVERSITY   (United States)

^b Brown Univerity   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CO-OCCURRENCE STATISTICS; CORPUS-BASED; NOUN PHRASE; SEMANTIC LEXICON; SEMI-AUTOMATICS; WORDNET;

SEMANTICS;

EID: 85022952954     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. E. Charniak, S. Goldwater, and M. Johnson. 1998. Edge-based best-first chart parsing. forthcoming.
2. T. Dunning. 1993. Accurate methods for the statistics of surprise and coincidence. Computational Linguistics, 19(l):61-74.
3. W.A. Gale, K.W. Church, and D. Yarowsky. 1992. A method for disambiguating word senses in a large corpus. Computers and the Humanities, 26:415-439.
4. M. Lauer. 1995. Corpus statistics meet the noun compound: Some empirical results. In Proceedings of the 33rd Annual Meeting of the Association for Computational Linguistics, pages 47-55.
5. M.P. Marcus, B. Santorini, and M.A. Marcinkiewicz. 1993. Building a large annotated corpus of English: The Penn Treebank. Computational Linguistics, 19(2):313-330.
6. G. Miller. 1990. Wordnet: An on-line lexical database. International Journal of Lexicography, 3(4).
7. MUC-4 Proceedings. 1992. Proceedings of the Fourth Message Understanding Conference. Morgan Kaufmann, San Mateo, CA.
8. E. Riloff and J. Shepherd. 1997. A corpus-based approach for building semantic lexicons. In Proceedings of the Second Conference on Empirical Methods in Natural Language Processing, pages 127-132.
9. H. Schiitze. 1992. Word sense disambiguation with sublexical representation. In Workshop Notes, Statistically-Based NLP Techniques, pages 109-113. AAAI.
10. D. Yarowsky. 1995. Unsupervised word sense disambiguation rivaling supervised methods. In Proceedings of the 33rd Annual Meeting of the Association for Computational Linguistics, pages 189-196.