Cross language text classification by model translation and semi-supervised learning

EMNLP 2010 - Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

Volumn , Issue , 2010, Pages 1057-1067

  Shi, Lei ^a   Mihalcea, Rada ^b   Tian, Mingjun ^a  

^a Yahoo Software R and D (Beijing)   (China)

^b UNIVERSITY OF NORTH TEXAS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA DISTRIBUTION; EXPECTATION-MAXIMIZATION ALGORITHMS; LABELED DATA; MODEL TRANSLATION; SEMI-SUPERVISED LEARNING; TARGET LANGUAGE; TEXT CLASSIFICATION; TEXT CLASSIFIERS;

ALGORITHMS; COMPUTATIONAL LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; SUPERVISED LEARNING; TEXT PROCESSING;

TRANSLATION (LANGUAGES);

EID: 80052215232     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (28)

1. S. Argamon, M. Koppel, and G. Avneri. 1998. Style-based text categorization: What newspaper am i reading? In AAAI-98 Workshop on Learning for Text Categorization, Madison.
2. C. Banea, R. Mihalcea, J. Wiebe, and S. Hassan. 2008. Multilingual subjectivity analysis using machine translation. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2008), Honolulu, Hawaii.
3. A. Berger, S. Della Pietra, and V. Della Pietra. 1996. A maximum entropy approach to natural language processing. Computational Linguistics, 22(1):39-71.
4. A. Blum and T. Mitchell. 1998. Combining labeled and unlabeled data with co-training. In COLT: Proceedings of the Workshop on Computational Learning Theory, Morgan Kaufmann Publishers, June.
5. P. Brown, S. della Pietra, V. della Pietra, and R. Mercer. 1993. The mathematics of statistical machine translation: parameter estimation. Computational Linguistics, 19(2).
6. W. Dai, G. Xue, Q. Yang, and Y. Yu. 2007. Transferring naive bayes classifiers for text classification. In In Proceedings of the 22nd AAAI Conference on Artificial Intell igence, pages 540-545. (Pubitemid 350149626)
7. A.P. Dempster, N.M. Laird, and D.B. Rubin. 1977. Maximum likelihood from incomplete data via the em algorithm. Journal of the Royal Statistical Society. Series B (Methodological), 39(1).
8. B. Fortuna and J. Shawe-Taylor. 2005. The use of machine translation tools for cross-lingual text mining. In Learning With Multiple Views, Workshop at the 22nd International Conference on Machine Learning (ICML).
9. A. Gliozzo and C. Strapparava. 2006. Exploiting comparable corpora and bilingual dictionaries for cross-language text categorization. In Proceedings of the Conference of the Association for Computational Linguistics, Sydney, Australia.
10. R. Hwa, P. Resnik, and A. Weinberg. 2005. Bootstrapping parsers via syntactic projection across parallel texts. Natural Language Engineering. Special issue on Parallel Texts, editors R. Mihalcea and M. Simard.
11. T. Joachims. 1997. A probabilistic analysis of the Roc-chio algorithm with TFIDF for text categorization. In Proceedings of ICML-97, 14th International Conference on Machine Learning, Nashville, US.
12. T. Joachims. 1998. Text categorization with Support Vector Machines: learning with mny relevant features. In Proceedings of the European Conference on Machine Learning, pages 137-142. (Pubitemid 128067178)
13. P. Koehn and K. Knight. 2000. Estimating word translation probabilities from unrelated monolingua l corpora using the em algorithm. In National Conference on Artificial Intelligence (AAAI 2000) Lang kilde, pages 711-715.
14. A. McCallum and K. Nigam. 1998. A comparison of event models for Naive Bayes text classification. In Proceedings of AAAI-98 Workshop on Learning for Text Categorization.
15. R. Mihalcea, C. Banea, and J. Wiebe. 2007. Learning multilingual subjective language via cross-lingual projections. In Proceedings of the Association for Computational Linguistics, Prague, Czech Republic.
16. C. Monz and B.J. Dorr. 2005. Iterative translation disambiguation for cross-language information retrieval. In Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Salvador, Brazil.
17. A. Moschitti. 2003. A study on optimal paramter tuning for Rocchio text classifier. In Proceedings of the European Conference on Information Retrieval, Italy.
18. H.T. Ng, B. Wang, and Y.S. Chan. 2003. Exploiting parallel texts for word sense disambiguation: An empirical study. In Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics (ACL 2003), Sapporo, Japan, July.
19. J.-Y. Nie, M. Simard, P. Isabelle, and R. Durand. 1999. Cross-language information retrieval based on parallel texts and automatic mining of parallel texts from the Web. In Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval.
20. K. Nigam and R. Ghani. 2000. Analyzing the effectiveness and applicability of co-training. In Proceedings of the Conference on Information and Knowledge Management (CIKM 2000), McLean, VA, November.
21. K. Nigam, J. Lafferty, and A. McCallum. 1999. Using maximum entropy for text classification. In IJCAI-99 Workshop on Machine Learning for Information Filtering.
22. J.S. Olsson, D. W. Oard, and J. Hajic. 2005. Cross-language text classification. In Proceedings of the 28th Annual international ACM SIGIR Conference on Research and Development in information Retrieval.
23. B. Pang and L. Lee. 2004. A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. In Proceedings of the 42nd Meeting of the Association for Computational Linguistics, Barcelona, Spain, July.
24. M. Sahami, S. Dumais, D. Heckerman, and E. Horvitz. 1998. A Bayesian approach to filtering junk e-mail. In AAAI-98 Workshop on Learning for Text Categorization, Madison.
25. J. Schler, M. Koppel, S. Argamon, and J. Pennebaker. 2006. Effects of age and gender on blogging. In Proceedings of 2006 AAAI Spring Symposium on Computational Approaches for Analyzing Weblogs, pages 199-204, Stanford.
26. L. Shi, C. Niu, M. Zhou, and J. Gao. 2006. A dom tree alignment model for mining parallel data from the web. In Proceedings of the Annual Meeting of the Association for Computational Lingusitics (ACL 2006), Sydney, Australia.
27. V. Vapnik. 1995. The Nature of Statistical Learning Theory. Springer, New York.
28. X. Wan. 2009. Co-training for cross-lingual sentiment classification. In Proceedings of the Joint Conference of the Association of Computational Linguistics and the International Joint Conference on Natural Language Processing, Singapore, August.