Graph-based clustering for semantic classication of onomatopoetic words

Proceedings of the 3rd Textgraphs Workshop on Graph-Based Algorithms for Natural Language Processing, TextGraphs 2008

Volumn , Issue , 2008, Pages 33-40

  Ichioka, Kenichi ^a   Fukumoto, Fumiyo ^a  

^a UNIVERSITY OF YAMANASHI   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

GRAPHIC METHODS; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS;

CLASSICATION; DISTRIBUTIONAL SIMILARITIES; GRAPH-BASED CLUSTERING; ORTHOGRAPHIC SIMILARITY; SIMILARITY MEASURE; WEB DATA;

CLUSTERING ALGORITHMS;

EID: 79960419408     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. Bilenko, M., S. Basu, and R. J. Mooney. 2004. Integrating Constraints and Metric Learning in Semi-Supervised Clustering. In Proc. of 21st International Conference on Machine Learning, pages 81–88.
2. Chen, K. J. and C. J. Chen. 2000. Automatic Semantic Classication for Chinese Unknown Compound Nouns. In Proc. of 38th Annual Meeting of the Association for Computational Linguistics, pages 125–130.
3. Church, K. and P. Hunks. 1990. Word Association Norms, Mutual Information and Lexicography. In In Proc. of 28th Annual Meeting of the Association for Computational Linguistics., pages 76–83.
4. Dagan, I., L. Lee, and F. Pereira. 1999. Similarity-based Models of Cooccurrence Probabilities. Machine Learning, 34(1-3):43–69.
5. Damerau, F. 1964. A Technique for Computer Detection and Correction of Spelling Errors. Communications of the ACM, 7:171–176.
6. Galley, M. and K. McKeown. 2003. Improving Word Sense Disambiguation in Lexical Chaining. In Proc. of 19th International Joint Conference on Articial Intelligence, pages 1486–1488.
7. Geffet, M. and I. Dagan. 2004. Feature Vector Quality and Distributional Similarity. In Proc. of 20th International Conference on Computational Linguistics, pages 247–253.
8. Hindle, D. 1990. Noun Classication from Predicate-argument Structures. In Proc. of 28th Annual Meeting of the Association for Computational Linguistics, pages 268–275.
9. Jannink, J. and G. Wiederhold. 1999. Thesaurus Entry Extraction from an On-line Dictionary. In Proc. of Fusion’99.
10. Lee, L. 1999. Measures of Distributional Similarity. In Proc. of the 37th Annual Meeting of the Association for Computational Linguistics, pages 25–32.
11. Lin, D. 1998. Automatic Retrieval and Clustering of Similar Words. In Proc. of 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, pages 768–773.
12. Matsuo, Y., T. Sakaki, K. Uchiyama, and M. Ishizuka. 2006. Graph-based Word Clustering using a Web Search Engine. In Proc. of 2006 Conference on Empirical Methods in Natural Language Processing (EMNLP2006), pages 542–550.
13. McLeod, W. T. 1991. The COLLINS Dictionary and Thesaurus. HarperCollinsPublishers.
14. Mihalcea, R. 2005. Unsupervised Large Vocabulary Word Sense Disambiguation with Graph-based Algorithms for Sequence Data Labeling. In Proc. of the Human Language Technology/Empirical Methods in Natural Language PRocessing Conference, pages 411–418.
15. Muller, P., N. Hathout, and B. Gaume. 2006. Synonym Extraction Using a Semantic Distance on a Dictionary. In Proc. of the Workshop on TextGraphs, pages 65–72.
16. Newman, M. E. J. 2004. Fast algorithm for detecting community structure in networks. In Physics Review E, (69, 066133).
17. Ono, M. 2007. Nihongo Omomatope Jiten (in Japanese). Shougakukan.
18. Reichardt, J. and S. Bornholdt. 2006. Statistical Mechanics of Community Detection. PHYICAL REVIEW E, (74):1–14.
19. Resnik, P. 1995. Using Information Content to Evaluate Semantic Similarity in a Taxonomy. In Proc. of 14th International Joint Conference on Articial Intelligence, pages 448–453.
20. Sinha, R. and R. Mihalcea. 2007. Unsupervised Graph-based Word Sense Disambiguation Using Measures of Word Semantic Similarity. In Proc. of the IEEE International Conference on Semantic Computing, pages 46–54.
21. Tishby, N., F. C. Pereira, and W. Bialek. 1999. The Information Bottleneck Method. In Proc. of 37th Annual Allerton Conference on Communication Control and Computing, pages 368–377.
22. Weeds, J. and D. Weir. 2005. Co-occurrence Retrieval: A Flexible Framework for Lexical Distributional Similarity. Computational Linguistics, 31(4):439–476.
23. Widdows, D. and B. Dorow. 2002. A Graph Model for Unsupervised Lexical Acquisition. In Proc. of 19th International conference on Computational Linguistics (COLING2002), pages 1093–1099.
24. Zhang, S., R. S. Wang, and X. S. Zhang. 2007. Iden-tication of Overlapping Community Structure in Complex Networks using Fuzzy C-means Clustering. PHYSICA A, (374):483–490.