Extracting Chinese abbreviation-definition pairs from anchor texts

Proceedings - International Conference on Machine Learning and Cybernetics

Volumn 4, Issue , 2011, Pages 1485-1491

  Xie, Li Xing ^a   Zheng, Ya Bin ^a   Liu, Zhi Yuan ^a   Sun, Mao Song ^a   Wang, Can Hui ^b  

^a TSINGHUA UNIVERSITY   (China)

^b Sohu Inc   (China)

Author keywords

Anchor texts; Chinese Abbreviation definition pairs; CRFs

Indexed keywords

CHINESE ABBREVIATION-DEFINITION PAIRS; CONDITIONAL RANDOM FIELD; CRFS; INTERNAL FEATURES; RELATED WORD; STATISTICAL FEATURES; WEB PAGE;

LEARNING SYSTEMS; USER INTERFACES;

CYBERNETICS;

EID: 80155206944     PISSN: 2160133X     EISSN: 21601348     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2011.6016980     Document Type: Conference Paper

References (20)

1. Buckley, C. and Voorhees, E. M. Retrieval evaluation with incomplete information. In SIGIR '04, 25-32. 2004.
2. Chang, J.-S. and Lai, Y.-T. A preliminary study on probabilistic models for Chinese abbreviations. In ACL SIGHAN Workshop, 9-16. 2004.
3. Chang, J.-S. and Teng, W.-L. Mining atomic Chinese abbreviation pairs: A probabilistic model for single character word recovery. In Proceedings of the Fifth SIGHAN Workshop on Chinese Language Processing, 17-24. 2006.
4. Deshpande, M. and Karypis, G. Item-based top-n recommendation algorithms. ACM Trans. Inf. Syst. 22, (1), 143-177. 2004.
5. Feng, S., Xiong, Y., Yao, C, Zheng, L., and Liu, W. Acronym extraction and disambiguation in large-scale organizational web pages. In CIKM '09, 1693-1696. 2009.
6. Lafferty, J. D., McCallum, A., and Pereira, F. C. N. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In ICML '01, 282-289.2001.
7. Li, Z. and Yarowsky, D. Unsupervised translation induction for Chinese abbreviations using monolingual corpora. In Proceedings of ACL-08: HLT, 425-433. 2008.
8. Liu, J., Chen, H., Furuse, K., and Ohbo, N. Extracting related words from anchor text clusters by focusing on the page designer's intention. In DEXA '09, 451-459. 2009.
9. Lu, W.-H., Chien, L.-F., and Lee, H.-J. Translation of web queries using anchor text mining. ACM Transactions on Asian Language Information Processing (TALIP) 1, 2, 159-172. 2002.
10. Okazaki, N. and Ananiadou, S. A term recognition approach to acronym recognition. In Proceedings of the COLING/ACL on Main conference poster sessions, 643-650. 2006.
11. Pakhomov, S. Semi-supervised maximum entropy based approach to acronym and abbreviation normalization in medical texts. In ACL '02, 160-167. 2002.
12. Pandian, S. L. and Geetha, T. V. Crf models for tamil part of speech tagging and chunking. In ICCPOL '09, 11-22.2009.
13. Park, Y. and Byrd, R. J. Hybrid text mining for finding abbreviations and their definitions. In EMNLP '01, 126-133.2001.
14. Peng, F., Feng, F., and McCallum, A. Chinese segmentation and new word detection using conditional random fields. In COLING '04. 2004.
15. Settles, B. Biomedical named entity recognition using conditional random fields and rich feature sets. In JNLPBA '04, 104-107. 2004.
16. Sha, F. and Pereira, F. Shallow parsing with conditional random fields. In NAACL '03, 134-141. 2003.
17. Sun, X., Wang, H., and Zhang, Y. Chinese abbreviation-definition identification: a svm approach using context information. In PRICAI'06, 495-504. 2006.
18. Wei, X., Peng, F., and Dumoulin, B. Analyzing web text association to disambiguate abbreviation in queries. In SIGIR '08, 751-752. 2008.
19. Yang, D., Pan, Y.-c, and Furui, S. Automatic Chinese abbreviation generation using conditional random field. In NAACL '09, 273-276. 2009.
20. Zheng, Y., Liu, Z., Sun, M., Ru, L., and Zhang, Y. Incorporating user behaviors in new word detection. In IJCAI'09, 2101-2106. 2009.