Integrating word relationships into language models

SIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn , Issue , 2005, Pages 298-305

  Cao, Guihong ^a   Nie, Jian Yun ^a   Bai, Jing ^a  

^a UNIVERSITÉ DE MONTRÉAL   (Canada)

Author keywords

co occurrence; dependency; information retrieval; language modeling; WordNet

Indexed keywords

CO-OCCURRENCE; CO-OCCURRENCE RELATIONSHIPS; DEPENDENCY; INDEPENDENCE ASSUMPTION; INTEGRATED MODELING; LANGUAGE MODEL; TREC COLLECTION; WORDNET;

INFORMATION RETRIEVAL; ONTOLOGY;

COMPUTATIONAL LINGUISTICS;

EID: 84885608551     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1076034.1076086     Document Type: Conference Paper

References (18)

1. Berger, A. and Lafferty, J. (1999). Information retrieval as statistical translation. In Proceedings of the 1999 ACM SIGIR Conference on Research and Development in Information Retrieval, pages 222-229.
2. Chen, S.F. and Goodman, J. (1998). An empirical study of smoothing techniques for language modeling. Tech. Rep. TR-10-98, Harvard University.
3. Dempster, A.P, Laird, N. M., and Rubin, D. B. (1997). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society,39:1-38.
4. Gao, J-F., Nie, J.-Y, Wu, G.-Y, and Cao, G.-H. (2004). Dependence Language Model for Information Retrieval. In Proceedings of the 2004 ACM SIGIR Conference on Research and Development in Information Retrieval, pages 170-177.
5. Jin, R., Hauptmann, A.G., and Zhai, CX. (2002). Title Language Model for Information Retrieval. In Proceedings of the 2002 ACM SIGIR Conference on Research and Development in Information Retrieval, pages 42-48.
6. Lafferty, J. and Zhai, C. (2001). Document language models, query models, and risk minimization for information retrieval. In Proceedings of the 2001 ACM SIGIR Conference on Research and Development in Information Retrieval, pages 111-119.
7. Liu, S., Liu, F., Yu, C., and Meng, W., (2004). An Effective Approach to Document Retrieval via Utilizing WordNet and Recognizing Phrases. In Proceedings of the 2004 ACM SIGIR Conference on Research and Development in Information Retrieval, pages 266-272.
8. Mandala, R., Tokunaga, T., and Tanaka, H. (1998). Ad Hoc Retrieval Experiments Using WordNet and Automatically Constructed Theasuri. In Proceedings of the seventh Text REtreival Conference, pages 475-481.
9. Miller, D., Leek, T. and Schwartz, R.M. (1999). A hidden Markov model information retrieval system. In Proceedings of the 1999 ACM SIGIR pages 214-222.
10. Nallapati, R. and Allan, J. (2002). Capturing Term Dependencies using a Language Model based on Sentence Trees. In Proceedings of the eleventh international conference on Information and knowledge management, McLean, Virginia, USA, 2002, pages 383-390.
11. Ogilvie, P. and Callan, J. (2001). Experiments using the lemur toolkit. In Proceedings of the Tenth Text Retrieval Conference (TREC-10), pages 103-108.
12. Ponte, J. and Croft, W.B. (1998). A language modeling approach to information retrieval. In Proceedings of the 1998 ACM SIGIR Conference on Research and Development in Information Retrieval, pages 275-281.
13. Robertson, S.E., Van, Rijsbergen, C.J., and Poter, M.F., (1981). Probabilistic models of indexing and searching. In Information Retrieval Research, R.N. Odd et al, Eds. Butterworths, pages 35-56.
14. Srikanth, M. and Srikanth, R. (2002). Biterm language models for document retrieval. In Proceedings of the 2002 ACM SIGIR Conference on Research and Development in Information Retrieval, pages 425-426.
15. st Int. Conf. on Machine Learning, Banff.
16. Voorhees, E. (1994). Query Expansion Using Lexical-Semantic Relations In Proceedings of the 1994 ACM SIGIR Conference on Research and Development in Information Retrieval, pages 61-69.
17. Zhai, C, and Lafferty, J. (2001). A Study of Smoothing Methods for Language Models Applied to Information Retrieval. In Proceedings of the 2001 ACM SIGIR Conference on Research and Development in Information Retrieval, pages 334-342.
18. Zhai, C, and Lafferty, J. (2002). Two-stage language models for information retrieval. In Proceedings of the 2002 ACM SIGIR Conference on Research and Development in Information Retrieval, pages 49-56.