Selecting the "Right" number of senses based on clustering criterion functions

EACL 2006 - 11th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference

Volumn , Issue , 2006, Pages 111-114

  Pedersen, Ted ^a   Kulkarni, Anagha ^a  

^a UNIVERSITY OF MINNESOTA DULUTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING CRITERIA; CLUSTERING SOLUTIONS; GLOBAL CRITERION FUNCTION; LARGE CORPORA;

COMPUTATIONAL LINGUISTICS;

EID: 84893400252     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1608974.1608983     Document Type: Conference Paper

References (6)

1. J. Hartigan. 1975. Clustering Algorithms. Wiley, New York.
2. R. Mojena. 1977. Hierarchical grouping methods and stopping rules: An evaluation. The Computer Journal, 20(4): 359-363.
3. T. Pedersen and R. Bruce. 1997. Distinguishing word senses in untagged text. In Proceedings of the Second Conference on Empirical Methods in Natural Language Processing, pages 197-207, Providence, RI, August.
4. A. Purandare and T. Pedersen. 2004. Word sense discrimination by clustering contexts in vector and similarity spaces. In Proceedings of the Conference on Computational Natural Language Learning, pages 41-48, Boston, MA.
5. S. Salvador and P. Chan. 2004. Determining the number of clusters/segments in hierarchical clustering/segmentation algorithms. In Proceedings of the 16th IEEE International Conference on Tools with AI, pages 576-584.
6. H. Schütze. 1998. Automatic word sense discrimination. Computational Linguistics, 24(1): 97-123.