Discriminative probabilistic models for passage based retrieval

ACM SIGIR 2008 - 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Proceedings

Volumn , Issue , 2008, Pages 419-426

  Wang, Mengqiu ^a   Si, Luo ^b  

^a Stanford University   (United States)

^b Purdue University   (United States)

Author keywords

Discriminative models; IR; Passage retrieval

Indexed keywords

AND MODELS; DISCRIMINATIVE MODELS; DOCUMENT RETRIEVALS; IR; LANGUAGE MODELS; PASSAGE RETRIEVAL; PROBABILISTIC MODELS; TEST BEDS; TREC TESTS; UNIFIED FRAMEWORKS;

COMPUTATIONAL LINGUISTICS; EQUIPMENT TESTING; INFORMATION RETRIEVAL; INFORMATION SERVICES; RESEARCH AND DEVELOPMENT MANAGEMENT; TEST FACILITIES;

PROBABILITY;

EID: 57349129521     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1390334.1390407     Document Type: Conference Paper

References (25)

1. J. Allan. Relevance feedback with too much data. In Proc. of SIGIR, 1995.
2. J. P. Callan. Passage-level evidence in document retrieval. In Proc. of SIGIR, 1994.
3. G. V. Cormack, C. L. A. Clarke, C. R. Palmer, and S. S. L. To. Passage-based query refinement. IPM, 36(1):133-153, 1999.
4. R. O. Duda, P. E. Hart, and D. G. Stork. Pattern Classification. Wiley Interscience, 2nd edition, 2002.
5. J. Gao, H. Qi, X. Xia, and J.-Y. Nie. Linear discriminant model for information retrieval. In Proc. of SIGIR, 2005.
6. D. J. Harper. Relevance Feedback in Document Retrieval Systems: An Evaluation of Probabilistic Strategies. PhD thesis, Cambridge University, 1980.
7. M. A. Hearst and C. Plaunt. Subtopic structuring for full-length document access. In Proc. of SIGIR, 1993.
8. J. J. E. Dennis and R. B. Schnabel. Numerical Methods for Unconstrained Optimization and Nonlinear Equations. Soc for Industrial and Applied Math, 1996.
9. N. A. Jaleel, A. Corrada-Emmanuel, Q. Li, X. Liu, C. Wade, and J. Allan. Umass at trec 2003: Hard and qa. In Proc. of TREC-12, 2003.
10. M. Kaskiel and J. Zobel. Passage retrieval revisited. In Proc. of SIGIR, 1997.
11. M. Kaskiel and J. Zobel. Effective ranking with arbitrary passages. JASIS, 52(4):344-364, 2001.
12. K. Kise, M. Junker, A. Dengel, and K. Matsumoto. Experimental evaluation of passage-based document retrieval. In Proceedings of the 6th International Conference on Document Analysis and Recognition, 2001.
13. D. Knaus, E. Mittendorf, and P. Schauble. Improving a basic retrieval method by links and passage level evidence. In Proc. of TREC-3, 1994.
14. V. Lavrenko and B. Croft. Relevance based language models. In Proc. of SIGIR, 2001.
15. J. H. Lee. Analyses of multiple evidence combination. In Proc. of SIGIR, 1997.
16. X. Liu and B. Croft. Passage retrieval based on language models. In Proc. of CIKM, 2002.
17. D. Metzler and B. Croft. Combining the language model and inference network approaches to retrieval. IPM Special Issue on Bayesian Networks and Information Retrieval, 40(5):735-750, 2004.
18. E. Mittendorf and P. Schäuble. Document and passage retrieval based on hidden markov models. In Proc. of SIGIR, 1994.
19. R. Nallapati. Discriminative models for information retrieval. In Proc. of SIGIR, 2004.
20. G. Salton, J. Allan, and C. Buckley. Approaches to passage retrieval in full text information systems. In Proc. of SIGIR, 1993.
21. M. Sanderson and J. Zobel. Information retrieval system evaluation: Effort, sensitivity, and reliability. In Proc. of SIGIR, 2005.
22. C. Wade and J. Allan. Passage retrieval and evaluation. Technical report, CIIR, University of Massachusetts, 2005.
23. R. Wilkinson. Effective retrieval of structured documents. In Proc. of SIGIR, 1994.
24. W. Xi, R. Xu-Rong, C. S. Khoo, and E.-P. Lim. Incorporating window-based passage-level evidence in document retrieval. JIS, 27(2):73-80, 2001.
25. J. Zobel, A. Moffat, R. Wilkinson, and R. Sacks-Davis. Efficient retrieval of partial documents. IPM, 31(3):361-377, 1995.