Using various term dependencies according to their utilities

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2010, Pages 1493-1496

  Shi, Lixin ^a   Nie, Jian Yun ^a  

^a UNIVERSITÉ DE MONTRÉAL   (Canada)

Author keywords

Dependency strength; Discriminative model; Language model; Term dependency

Indexed keywords

DEPENDENCY MODEL; DEPENDENCY STRENGTH; DISCRIMINATIVE MODELS; LANGUAGE MODEL; TERM DEPENDENCY;

KNOWLEDGE MANAGEMENT;

COMPUTATIONAL LINGUISTICS;

EID: 78651265937     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1871437.1871655     Document Type: Conference Paper

References (18)

1. Bendersky, M., D. Metzler and W. B. Croft. Learning concept importance using a weighted dependence model. WSDM-2010, pp.31-40.
2. Croft, W.B., H.R. Turtle, and D. D. Lewis. The use of phrases and structured queries in information retrieval. ACM SIGIR-1991, pp.32-45.
3. Fagan, J. L. Automatic phrase indexing for document retrieval: An examination of syntactic and non-syntactic methods. ACM SIGIR, pp.91-101, 1987.
4. Gao, J., H. Qi, X. Xia, J-Y. Nie. Linear discriminant model for information retrieval, SIGIR-2005, pp.290-297.
5. Gao, J., J.-Y. Nie, G. Wu, and G. Cao. Dependence language model for information retrieval. SIGIR-2004, pp.170-177.
6. Ken, E.M. Some aspects of proximity searching in text retrieval systems. J. of Info. Sci., vol.18, pp.89-98, 1991.
7. Lv, Y. and C. Zhai. Positional language models for information retrieval. SIGIR-2009, pp.299-306.
8. Matzler, D. and W. B. Croft. A Markov random field model for term dependencies. SIGIR-2005, pp.472-479.
9. Metzler, D. and W. B. Croft. Linear feature-based models for information retrieval. Info. Retrieval, 10(3) pp.257-274, 2007.
10. Nallapati, R. and J. Allan. Capturing term dependencies using a language model based on sentence trees. CIKM-2002, pp.383-390.
11. Nallapati, R. Discriminative models for information retrieval. SIGIR-2004, pp.64-71.
12. Ribeiro-Neto, B.A. and R. Muntz. A belief network model for IR. SIGIR-1996, pp.253-260.
13. Song, F. and W. Croft. A general language model for information retrieval. CIKM-1999, pp.316-321.
14. Srikanth, M. and R. Srihari. Biterm language models for document retrieval. SIGIR-2002, pp. 425-426.
15. Tao, T. and C. Zhai. An exploration of proximity measures in information retrieval. SIGIR-2007, pp.295-302.
16. Turtle, H. R. and W. B. Croft. Inference networks for document retrieval. SIGIR 1990, pp.1-24.
17. Vapnik, V.N. Statistical Learning Theory. Wiley, 1998.
18. Zhao, J. and Y. Yun. A Proximity language model for information retrieval. SIGIR-2009, pp.291-298.