SenseClusters - Finding clusters that represent word senses

Proceedings of the National Conference on Artificial Intelligence

Volumn , Issue , 2004, Pages 1030-1031

  Purandare, Amruta ^a   Pedersen, Ted ^a  

^a UNIVERSITY OF MINNESOTA DULUTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTEXTUAL SIMILARITIES; ONTOLOGY; SENSECLUSTERS; WORD MEANING;

ALGORITHMS; DATA REDUCTION; MATRIX ALGEBRA; OPERATIONS RESEARCH; PERSONNEL TRAINING; VECTORS; VISUALIZATION; WORD PROCESSING;

LINGUISTICS;

EID: 9444222473     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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2. Karypis, G. 2002. CLUTO - a clustering toolkit. Technical Report 02-017, University of Minnesota, Department of Computer Science.
3. Landauer, T.; Foltz, P.; and Laham, D. 1998. An introduction to Latent Semantic Analysis. Discourse Processes 25:259-284.
4. Miller, G., and Charles, W. 1991. Contextual correlates of semantic similarity. Language and Cognitive Processes 6(l):l-28.
5. Pedersen, T., and Bruce, R. 1997. Distinguishing word senses in untagged text. In Proceedings of the Second Conference on Empirical Methods in Natural Language Processing, 197-207.
6. Purandare, A., and Pedersen, T. 2004. Word sense discrimination by clustering contexts in vector and similarity spaces. In Proceedings of the Conference on Computational Natural Language Learning.
7. Purandare, A. 2003. Discriminating among word senses using Mcquitty's similarity analysis. In Proceedings of the HLT-NAACL 2003 Student Research Workshop, 19-24.
8. Schütze, H. 1998. Automatic word sense discrimination. Computational Linguistics 24(1):97-123.