Discriminative training for near-synonym substitution

Coling 2010 - 23rd International Conference on Computational Linguistics, Proceedings of the Conference

Volumn 2, Issue , 2010, Pages 1254-1262

  Yu, Liang Chih ^a   Shih, Hsiu Min ^b   Lai, Yu Ling ^b   Yeh, Jui Feng ^c   Wu, Chung Hsien ^d  

^a YUAN ZE UNIVERSITY   (Taiwan)

^b NATIONAL CHUNG CHENG UNIVERSITY   (Taiwan)

^c NATIONAL CHIAYI UNIVERSITY   (Taiwan)

^d NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION TASKS; DISCRIMINATIVE TRAINING; KNOWLEDGE RESOURCE; NATURAL LANGUAGE APPLICATIONS; POINTWISE MUTUAL INFORMATION; QUERY EXPANSION; TEST EXAMPLES; TEXT GENERATIONS;

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL LINGUISTICS; INFORMATION RETRIEVAL; NATURAL LANGUAGE PROCESSING SYSTEMS;

SEMANTICS;

EID: 80053415801     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. J. Bhogal, A. Macfarlane, and P. Smith. 2007. A Review of Ontology based Query Expansion. Information Processing & Management, 43(4):866-886. (Pubitemid 46431170)
2. K. Church and P. Hanks. 1991. Word Association Norms, Mutual Information and Lexicography. Computational Linguistics, 16(1):22-29.
3. I. Dagan, O. Glickman, A. Gliozzo, E. Marmorshtein, and C. Strapparava. 2006. Direct Word Sense Matching for Lexical Substitution. In Proc. of COLING/ACL-06, pages 449-456.
4. P. Edmonds. 1997. Choosing the Word Most Typical in Context Using a Lexical Co-occurrence Network. In Proc. of ACL-97, pages 507-509.
5. C. Fellbaum. 1998. WordNet: An Electronic Lexical Database. MIT Press, Cambridge, MA.
6. M. Gardiner and M. Dras. 2007. Exploring Approaches to Discriminating among Near-Synonyms, In Proc. of the Australasian Technology Workshop, pages 31-39.
7. E. H. Hovy, M. Marcus, M. Palmer, L. Ramshaw, and R. Weischedel. 2006. OntoNotes: The 90% Solution. In Proc. of HLT/NAACL-06, pages 57-60.
8. D. Inkpen. 2007. Near-Synonym Choice in an Intelligent Thesaurus. In Proc. of NAACL/HLT-07, pages 356-363.
9. D. Inkpen and G. Hirst. 2006. Building and Using a Lexical Knowledge-base of Near-Synonym Differences. Computational Linguistics, 32(2):1-39.
10. S. Katagiri, B. H. Juang, and C. H. Lee. 1998. Pattern Recognition Using a Family of Design Algorithms based upon the Generalized Probabilistic Descent Method, Proc. of the IEEE, 86(11):2345-2373.
11. H. K. J. Kuo and C. H. Lee. 2003. Discriminative Training of Natural Language Call Routers, IEEE Trans. Speech and Audio Processing, 11(1):24-35.
12. D. Lin. 1998. Automatic Retrieval and Clustering of Similar Words. In Proc. of ACL/COLING-98, pages 768-774.
13. D. McCarthy. 2002. Lexical Substitution as a Task for WSD Evaluation. In Proc. of the SIGLEX/SENSEVAL Workshop on Word Sense Disambiguation at ACL-02, pages 109-115.
14. D. Moldovan and R. Mihalcea. 2000. Using Wordnet and Lexical Operators to Improve Internet Searches. IEEE Internet Computing, 4(1):34-43. (Pubitemid 30564638)
15. U. Ohler, S. Harbeck, and H. Niemann. 1999. Discriminative Training of Language Model Classifiers, In Proc. of Eurospeech-99, pages 1607-1610.
16. D. Pearce. 2001. Synonymy in Collocation Extraction. In Proc. of the Workshop on WordNet and Other Lexical Resources at NAACL-01.
17. S. Pradhan, E. H. Hovy, M. Marcus, M. Palmer, L. Ramshaw, and R. Weischedel. 2007. OntoNotes: A Unified Relational Semantic Representation. In Proc. of the First IEEE International Conference on Semantic Computing (ICSC-07), pages 517-524.
18. H. Rodríguez, S. Climent, P. Vossen, L. Bloksma, W. Peters, A. Alonge, F. Bertagna, and A. Roventint. 1998. The Top-Down Strategy for Building EeuroWordNet: Vocabulary Coverage, Base Concepts and Top Ontology, Computers and the Humanities, 32:117-159.
19. L. C. Yu, C. H. Wu, A. Philpot, and E. H. Hovy. 2007. OntoNotes: Sense Pool Verification Using Google N-gram and Statistical Tests, In Proc. of the OntoLex Workshop at the 6th International Semantic Web Conference (ISWC-07).
20. D. Zhou and Y. He. 2009. Discriminative Training of the Hidden Vector State Model for Semantic Parsing, IEEE Trans. Knowledge and Data Engineering, 21(1):66-77.