Large-scale learning of word relatedness with constraints

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2012, Pages 1406-1414

  Halawi, Guy ^a   Dror, Gideon ^b   Gabrilovich, Evgeniy ^b   Koren, Yehuda ^b  

^a TEL AVIV UNIVERSITY   (Israel)

^b YAHOO RESEARCH   (United States)

Author keywords

semantic similarity; word relatedness

Indexed keywords

DATA SETS; LEARNING PROCESS; LOW-DIMENSIONAL REPRESENTATION; RELATED WORD; SEMANTIC RELATEDNESS; SEMANTIC SIMILARITY; TEXT CORPORA; WORD RELATEDNESS; WORD SIMILARITY;

NATURAL LANGUAGE PROCESSING SYSTEMS;

DATA MINING;

EID: 84866033702     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2339530.2339751     Document Type: Conference Paper

References (29)

1. M. Baroni, S. Bernardini, A. Ferraresi, and E. Zanchetta. The WaCky wide web: a collection of very large linguistically processed web-crawled corpora. Language Resources and Evaluation, 2009.
2. Y. Bengio and J.-S. Senécal. Quick training of probabilistic neural nets by sampling. In Proc. 9th International Workshop on Artificial Intelligence and Statistics (AISTATS'03), 2003.
3. D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent dirichlet allocation. Journal of Machine Learning Research, 3:993-1022, 2003.
4. L. Bottou. Stochastic learning. In Advanced Lectures on Machine Learning, LNAI 3176, pages 146-168. Springer Verlag, 2004.
5. A. Budanitsky and G. Hirst. Evaluating wordnet-based measures of lexical semantic relatedness. Computational Linguistics, 32(1):13-47, 2006.
6. I. Dagan, L. Lee, and F. C. N. Pereira. Similarity-based models of word cooccurrence probabilities. Machine Learning, 34(1-3):43-69, 1999.
7. S. Deerwester, S. Dumais, G. Furnas, T. Landauer, and R. Harshman. Indexing by latent semantic analysis. JASIS, 41(6):391-407, 1990.
8. C. Fellbaum, editor. WordNet: An Electronic Lexical Database. MIT Press, Cambridge, MA, 1998.
9. E. Fieller, H. Hartley, and E. Pearson. Tests for rank correlation coefficients. Biometrika, 44:470-U{combining double acute accent}481, 1957.
10. L. Finkelstein, E. Gabrilovich, Y. Matias, E. Rivlin, Z. Solan, G. Wolfman, and E. Ruppin. Placing search in context: The concept revisited. ACM TOIS, 20(1):116-131, January 2002.
11. E. Gabrilovich and S. Markovitch. Wikipedia-based semantic interpretation for natural language processing. Journal of Artificial Intelligence Research, 34:443-498, 2009.
12. T. Hastie, R. Tibshirani, and J. Friedman. The Elements of Statistical Learning. Springer Series in Statistics. Springer New York Inc., New York, NY, USA, 2009.
13. R. Hoffmann, C. Zhang, and D. S. Weld. Learning 5000 relational extractors. In ACL, pages 286-295, 2010.
14. C. Kunze. Computerlinguistik und sprachtechnologie. In Lexikalisch-semantische Wortnetze, pages 423-431. Spektrum Akademischer Verlag, 2004.
15. L. Lee. Measures of distributional similarity. In Proceedings of the 37th Annual Meeting of the ACL, pages 25-32, 1999.
16. A. K. McCallum. Mallet: A machine learning for language toolkit. http://mallet.cs.umass.edu, 2002.
17. K. Radinsky, E. Agichtein, E. Gabrilovich, and S. Markovitch. A word at a time: Computing word relatedness using temporal semantic analysis. In WWW, 2011.
18. H. Robbins and S. Monro. A stochastic approximation method. Annals of Math. Statistics, 22:400-407, 1951.
19. P. Roget. Roget's Thesaurus of English Words and Phrases. Longman Group Ltd., 1852.
20. G. Salton, editor. The SMART Retrieval System: Experiments in Automatic Document Processing. Prentice Hall, 1971.
21. R. Snow, B. O'Connor, D. Jurafsky, and A. Y. Ng. Cheap and fast-but is it good? Evaluating non-expert annotations for natural language tasks. In EMNLP, 2008.
22. J. C. Spall. Introduction to Stochastic Search and Optimization. John Wiley & Sons, Inc., 2003.
23. Q. Sun, R. Li, D. Luo, and X. Wu. Text segmentation with LDA-based fisher kernel. In ACL-HLT Short Papers, pages 269-272, 2008.
24. C. Tan, E. Gabrilovich, and B. Pang. To each his own: Personalized content selection based on text comprehensibility. In WSDM, 2012.
25. A. Tversky. Features of similarity. Psychological Review, 84(4):327-352, 1977.
26. S. K. M. Wong, W. Ziarko, and P. C. N. Wong. Generalized vector spaces model in information retrieval. In SIGIR, 1985.
27. E. Yeh, D. Ramage, C. D. Manning, E. Agirre, and A. Soroa. Wikiwalk: Random walks on wikipedia for semantic relatedness. In 2009 TextGraphs-4 Workshop, 2009.
28. T. Zesch and I. Gurevych. Wisdom of crowds versus wisdom of linguists? measuring the semantic relatedness of words. Natural Language Engineering, 16(1):25-59, 2010.
29. T. Zesch, C. Mueller, and I. Gurevych. Using Wiktionary for computing semantic relatedness. In AAAI, pages 861-866, 2008.