Information retrieval oriented word segmentation based on character associative strength ranking

EMNLP 2008 - 2008 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference: A Meeting of SIGDAT, a Special Interest Group of the ACL

Volumn , Issue , 2008, Pages 1061-1069

  Liu, Yixuan ^a   Wang, Bin ^a   Ding, Fan ^a   Xu, Sheng ^a  

^a INSTITUTE OF COMPUTING TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; IMAGE SEGMENTATION; INFORMATION RETRIEVAL; LEARNING ALGORITHMS;

ADJACENT CHARACTERS; DIFFERENT GRANULARITIES; MUTUAL INFORMATIONS; OVERLAPPING AMBIGUITIES; SEGMENTATION RESULTS; STATE OF THE ART; STATISTICAL FEATURES; WORD SEGMENTATION;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 78650886430     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1613715.1613853     Document Type: Conference Paper

References (15)

1. D. Fan,W. Bin, andW. Sili. 2007. A Heuristic Approach for Segmentation Granularity Problem in Chinese Information Retrieval. Advanced Language Processing and Web Information Technology, 2007. ALPIT 2007. Sixth International Conference on, pages 87-91.
2. S. Foo and H. Li. 2004. Chinese word segmentation and its effect on information retrieval. volume 40, pages 161-190. Elsevier.
3. H. Jin and K.F. Wong. 2002. A Chinese dictionary construction algorithm for information retrieval. ACM Transactions on Asian Language Information Processing (TALIP), 1(4):281-296.
4. T. Joachims. 2002. Optimizing search engines using clickthrough data. Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, pages 133-142.
5. J.D. Lafferty, A. McCallum, and F.C.N. Pereira. 2001. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. Proceedings of the Eighteenth International Conference on Machine Learning table of contents, pages 282-289.
6. Q. Liu. 2002. Review of Chinese lexical and syntactic technology.
7. Z.Y. Luo and R. Song. 2001. Proper noun recognition in Chinese word segmentation research. Conference of international Chinese computer, 328:2001-323.
8. D. Metzler and W.B. Croft. 2005. A Markov random field model for term dependencies. Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, pages 472-479.
9. H.T. Ng and J.K. Low. 2004. Chinese part-of-speech tagging: one-at-a-time or all-at-once? word-based or character-based. Proc of EMNLP.
10. J.Y. Nie, J. Gao, J. Zhang, and M. Zhou. 2000. On the use of words and n-grams for Chinese information retrieval. Proceedings of the fifth international workshop on on Information retrieval with Asian languages, pages 141-148.
11. F. Peng, X. Huang, D. Schuurmans, and N. Cercone. 2002a. Investigating the relationship between word segmentation performance and retrieval performance in Chinese IR. Proceedings of the 19th international conference on Computational linguistics-Volume 1, pages 1-7.
12. F. Peng, X. Huang, D. Schuurmans, N. Cercone, and S.E. Robertson. 2002b. Using self-supervised word segmentation in Chinese information retrieval. Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval, pages 349-350.
13. S. Robertson. 2006. On GMAP: and other transformations. Proceedings of the 15th ACM international conference on Information and knowledge management, pages 78-83.
14. Sili Wang. 2006. Research on chinese word segmentation for large scale information retrieval.
15. H.P. Zhang, H.K. Yu, D.Y. Xiong, and Q. Liu. 2003. HHMM-based Chinese Lexical Analyzer ICTCLAS. Proceedings of Second SIGHAN Workshop on Chinese Language Processing, pages 184-187.