Measuring semantic similarity by latent relational analysis

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2005, Pages 1136-1141

  Turney, Peter D ^a  

^a NATIONAL RESEARCH COUNCIL CANADA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ANALOGICAL REASONING; COSINE OF THE ANGLES; HUMAN-LEVEL PERFORMANCE; LATENT RELATIONAL ANALYSIS; RELATIONAL SIMILARITIES; SEMANTIC RELATIONS; SEMANTIC SIMILARITY; VECTOR SPACE MODELS;

ARTIFICIAL INTELLIGENCE; FUNCTIONAL ANALYSIS; VECTOR SPACES;

SEMANTICS;

EID: 84880762169     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. S. Banerjee and T. Pedersen. Extended gloss overlaps as a measure of semantic relatedness. In Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI- 03), pages 805-810, Acapulco, Mexico, 2003.
2. R. Barzilay and K. McKeown. Extracting paraphrases from a parallel corpus. In Proceedings of the 39th Annual Meeting of the Association for Computational Linguistics, pages 50-57, Toulouse, France, 2001.
3. M.W. Berry. Large scale singular value computations. International Journal of Supercomputer Applications, 6(1): 13-49, 1992.
4. C.L.A. Clarke, G.V. Cormack, and C.R. Palmer. An overview of MultiText. ACM SIGIR Forum, 32(2): 14-15, 1998. (Pubitemid 128614787)
5. I. Dagan and O. Glickman, Probabilistic textual entailment: Generic applied modeling of language variability. In Learning Methods for Text Understanding and Mining, Grenoble, France, 2004.
6. G.H. Golub and C.F. Van Loan. Matrix Computations. Third edition. Johns Hopkins University Press, Baltimore, MD, 1996.
7. T.K. Landauer and S.T. Dumais. A solution to Plato's problem: The latent semantic analysis theory of the acquisition, induction, and representation of knowledge. Psychological Review, 104:211-240, 1997.
8. M.E. Lesk. Automatic sense disambiguation using machine readable dictionaries: How to tell a pine cone from a ice cream cone. In Proceedings of ACM SIGDOC '86, pages 24-26, 1986.
9. D.D. Lewis. Evaluating text categorization. In Proceedings of the Speech and Natural Language Workshop, Asilomar, pages 312-318, 1991.
10. th International Conference on Computational Linguistics (COLING-ACL '98), pages 768-774, Montreal, Canada, 1998.
11. D.L. Medin, R.L. Goldstone, and D. Gentner. Similarity involving attributes and relations: Judgments of similarity and difference are not inverses. Psychological Science, 1(1): 64-69, 1990.
12. V. Nastase and S. Szpakowicz. Exploring noun-modifier semantic relations. In Fifth International Workshop on Computational Semantics (IWCS-5), Tilburg, The Netherlands, pages 285-301, 2003.
13. B. Rosario and M. Hearst. Classifying the semantic relations in noun-compounds via a domain-specific lexical hierarchy. In Proceedings of the 2001 Conference on Empirical Methods in Natural Language Processing (EMNLP-01), pages 82-90, 2001.
14. G. Salton and M.J. McGill. Introduction to Modern Information Retrieval. McGraw-Hill, New York, 1983.
15. P.D. Turney, M.L. Littman, J. Bigham, and V. Shnayder. Combining independent modules to solve multiple-choice synonym and analogy problems. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP-03), Borovets, Bulgaria, pages 482-489, 2003.
16. P.D. Turney and M.L. Littman. Corpus-based learning of analogies and semantic relations. Machine Learning, in press, 2005.