Estimation of query model from parsimonious translation model

Lecture Notes in Computer Science

Volumn 3411, Issue , 2005, Pages 239-250

  Na, Seung Hoon ^a   Kang, In Su ^a   Kang, Sin Jae ^b   Lee, Jong Hyeok ^a  

^a Pohang University of Science and Technology (POSTECH)   (South Korea)

^b Daegu University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION ANALYSIS; PROBABILITY; QUERY LANGUAGES; STATISTICS;

LANGUAGE MODELLING; QUERY MODEL; TRANSLATIONAL MODELS;

MATHEMATICAL MODELS;

EID: 24344485634     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-31871-2_21     Document Type: Conference Paper

References (23)

1. Berger, A. and Lafferty, J. Information Retrieval as Statistical Translation. In Proceedings of 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 222-229, 1999
2. Dempster, A. Maximum Likelihood from Incomplete Data via the EM algorithm. In Journal of Royal Statistical Society, vol. 39, no. 1, pages 1-39, 1977
3. Hiemstra, D. Robertson, S. and Zaragoza, H. Parsimonious Language Models for Information Retrieval. In Proceedings of 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 178-185, 2004
4. Hiemstra, D. Term Specific Smoothing for Language Modeling Approach to Information Retrieval: The Importance of a Query Term. In Proceedings of 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 35-41, 2002
5. Hiemstra, D. Using Language Models for Information Retrieval. In PhD Thesis, University of Twente, 2001
6. Hofmann, T. Unsupervised Learning by Probabilistic Latent Semantic Analysis. Machine Learning, vol 42(1-2), 2001
7. Ide, N. and Veronis, J. Word Sense Disambiguation. Computational Linguistics, vol 24(1), 1998
8. Lafferty, J. and Zhai, C. Document Language Models, Query Models, and Risk Minimization for Information Retrieval. In Proceedings of 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 111-119, 2001
9. Lavrenko, V., Choquette, M. and Croft, W. Cross-Lingual Relevance Model. In Proceedings of 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 175-182, 2002
10. Lavrenko, V. and Croft, B. Relevance-based language models. In Proceedings of 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 120-127, 2001
11. Liu, X. Cluster-Based Retrieval Using Language Models. In Proceedings of 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 186-193, 2004
12. Lee, J., Cho, H., and Park, H. n-Gram-based indexing for Korean text retrieval. Information Processing & Management vol 35(4), 1999
13. Miller, D., Leek T. and Schwartz, R. A Hidden Markov Model Information Retrieval System. In Proceedings of 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 214-221, 1999
14. Nallapati, R. and Allen, J. Capturing Term Dependencies using a Language Model based on Sentence Trees. In Proceedings of the 10th international conference on Information and knowledge management, pages 383-390, 2002
15. Ponte, A. and Croft, J. A Language Modeling Approach to Information Retrieval. In Proceedings of 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 275-281, 1998
16. Ponte, A. A Language Modeling Approach to Information Retrieval. In PhD thesis, Dept. o Computer Science, Univercity of Massachusetts, 1998
17. Robertson, S. and Hiemstra, D. Language Models and Probability of Relevance. In Proceedings of the Workshop on Language Modeling and Information Retrieval, 2001
18. Sperer, R. and Oard, D. Structured Translation for Cross-Language Information Retrieval. In Proceedings of 23th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 120-127, 2000
19. Song, F. and Croft, W. A General Language Model for Information Retrieval. In Proceedings of 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 279-280, 1999
20. Srikanth, M. and Srihari, R. Biterm Language Models for Document Retrieval. In Proceedings of 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 425-426, 2002
21. Zaragoza, H. and Hiemstra, D. Bayesian Extension to the Language Model for Ad Hoc Information Retrieval", In Proceedings of 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 4-9, 2003
22. Zhai, C. and Lafferty, J. Model-based Feedback in the Language Modeling Approach to Information Retrieval. In Proceedings of the 10th international conference on Information and knowledge management, pages 430-410, 2002
23. Zhai, C. and Lafferty, J. A Study of Smoothing Methods for Language Models Applied to Ad Hoc Information Retrieval. In Proceedings of 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 334-342, 2001