Cross-language text classification using structural correspondence learning

ACL 2010 - 48th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference

Volumn , Issue , 2010, Pages 1118-1127

  Prettenhofer, Peter ^a   Stein, Benno ^a  

^a BAUHAUS UNIVERSITY WEIMAR   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CROSS-LINGUAL; DOMAIN ADAPTATION; SENTIMENT CLASSIFICATION; SOURCE LANGUAGE; TARGET LANGUAGE; TEXT CLASSIFICATION; UNLABELED DATA; UNLABELED DOCUMENTS; WORD TRANSLATION;

COMPETITION;

COMPUTATIONAL LINGUISTICS;

EID: 84859947224     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (27)

1. Rie-K. Ando and Tong Zhang. 2005a. A framework for learning predictive structures from multiple tasks and unlabeled data. J. Mach. Learn. Res., 6:1817-1853.
2. Rie-K. Ando and Tong Zhang. 2005b. A highperformance semi-supervised learning method for text chunking. In Proceedings of ACL-05, pages 1-9, Ann Arbor.
3. Mikhail Bautin, Lohit Vijayarenu, and Steven Skiena. 2008. International sentiment analysis for news and blogs. In Proceedings of ICWSM-08, pages 19-26, Seattle.
4. Nuria Bel, Cornelis H. A. Koster, and Marta Villegas. 2003. Cross-lingual text categorization. In Proceedings of ECDL-03, pages 126-139, Trondheim.
5. John Blitzer, Ryan McDonald, and Fernando Pereira. 2006. Domain adaptation with structural correspondence learning. In Proceedings of EMNLP-06, pages 120-128, Sydney.
6. John Blitzer, Mark Dredze, and Fernando Pereira. 2007. Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. In Proceedings of ACL-07, pages 440-447, Prague.
7. Hal Daumé III. 2007. Frustratingly easy domain adaptation. In Proceedings of ACL-07, pages 256-263, Prague.
8. Susan T. Dumais, Todd A. Letsche, Michael L. Littman, and Thomas K. Landauer. 1997. Automatic cross-language retrieval using latent semantic indexing. In AAAI Symposium on CrossLanguage Text and Speech Retrieval.
9. Jenny-R. Finkel and Christopher-D. Manning. 2009. Hierarchical bayesian domain adaptation. In Proceedings of HLT/NAACL-09, pages 602-610, Boulder.
10. Blaž Fortuna and John Shawe-Taylor. 2005. The use of machine translation tools for cross-lingual text mining. In Proceedings of the ICML Workshop on Learning with Multiple Views.
11. Alfio Gliozzo and Carlo Strapparava. 2005. Cross language text categorization by acquiring multilingual domain models from comparable corpora. In Proceedings of the ACL Workshop on Building and Using Parallel Texts.
12. Alfio Gliozzo and Carlo Strapparava. 2006. Exploiting comparable corpora and bilingual dictionaries for cross-language text categorization. In Proceedings of ACL-06, pages 553-560, Sydney.
13. Kanayama Hiroshi, Nasukawa Tetsuya, and Watanabe Hideo. 2004. Deeper sentiment analysis using machine translation technology. In Proceedings of COLING-04, pages 494-500, Geneva.
14. Jing Jiang and Chengxiang Zhai. 2007. A two-stage approach to domain adaptation for statistical classifiers. In Proceedings of CIKM-07, pages 401-410, Lisbon.
15. Victor Lavrenko, Martin Choquette, and W. Bruce Croft. 2002. Cross-lingual relevance models. In Proceedings of SIGIR-02, pages 175-182, Tampere.
16. Yaoyong Li and John S. Taylor. 2007. Advanced learning algorithms for cross-language patent retrieval and classification. Inf. Process. Manage., 43(5):1183-1199.
17. Xiao Ling, Gui-R. Xue, Wenyuan Dai, Yun Jiang, Qiang Yang, and Yong Yu. 2008. Can chinese web pages be classified with english data source? In Proceedings of WWW-08, pages 969-978, Beijing.
18. DouglasW. Oard. 1998. A comparative study of query and document translation for cross-language information retrieval. In Proceedings of AMTA-98, pages 472-483, Langhorne.
19. J. Scott Olsson, DouglasW. Oard, and Jan Hajič. 2005. Cross-language text classification. In Proceedings of SIGIR-05, pages 645-646, Salvador.
20. Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan. 2002. Thumbs up?: sentiment classification using machine learning techniques. In Proceedings of EMNLP-02, pages 79-86, Philadelphia.
21. Martin Potthast, Benno Stein, and Maik Anderka. 2008. A wikipedia-based multilingual retrieval model. In Proceedings of ECIR-08, pages 522-530, Glasgow.
22. Ariadna Quattoni, Michael Collins, and Trevor Darrell. 2007. Learning visual representations using images with captions. In Proceedings of CVPR-07, pages 1-8, Minneapolis.
23. Leonardo Rigutini, Marco Maggini, and Bing Liu. 2005. An em based training algorithm for crosslanguage text categorization. In Proceedings of WI-05, pages 529-535, Compiègne.
24. Shai Shalev-Shwartz, Yoram Singer, and Nathan Srebro. 2007. Pegasos: Primal estimated sub-gradient solver for svm. In Proceedings of ICML-07, pages 807-814, Corvalis.
25. Yoshimasa Tsuruoka, Jun'ichi Tsujii, and Sophia Ananiadou. 2009. Stochastic gradient descent training for l1-regularized log-linear models with cumulative penalty. In Proceedings of ACL/AFNLP-09, pages 477-485, Singapore.
26. Xiaojun Wan. 2009. Co-training for crosslingual sentiment classification. In Proceedings of ACL/AFNLP-09, pages 235-243, Singapore.
27. Tong Zhang. 2004. Solving large scale linear prediction problems using stochastic gradient descent algorithms. In Proceedings of ICML-04, pages 116-124, Banff.