A comparison of retrieval models using term dependencies

CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management

Volumn , Issue , 2014, Pages 111-120

  Huston, Samuel ^a   Croft, W Bruce ^a  

^a University of Massachusetts Amherst   (United States)

Author keywords

Evaluation; Proximity; Retrieval models

Indexed keywords

KNOWLEDGE MANAGEMENT;

BAG-OF-WORDS MODELS; DEPENDENCE MODEL; EVALUATION; PROXIMITY; REPRODUCIBILITIES; RETRIEVAL MODELS; TERM DEPENDENCY; TREC COLLECTION;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84937579092     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2661829.2661894     Document Type: Conference Paper

References (33)

1. Gianni Amati and C. J. Van Rijsbergen. Probabilistic models of information retrieval based on measuring the divergence from randomness. ACM Trans. Inf. Syst., 20(4): 357-389, October 2002.
2. Timothy G. Armstrong, Alistair Moffat, William Webber, and Justin Zobel. Improvements that don't add up: ad-hoc retrieval results since 1998. In Proc. of the 18th ACM CIKM, pages 601-610, 2009.
3. Michael Bendersky and W. Bruce Croft. Discovering key concepts in verbose queries. In Proc. of the 31st ACM SIGIR, pages 491-498, 2008.
4. Michael Bendersky and W. Bruce Croft. Modeling higher-order term dependencies in information retrieval using query hypergraphs. In Proc. of the 35th ACM SIGIR, pages 941-950, 2012.
5. Michael Bendersky, W. Bruce Croft, and David A. Smith. Two-stage query segmentation for information retrieval. In Proc. of the 32nd ACM SIGIR, pages 810-811, 2009.
6. Michael Bendersky, Donald Metzler, and W. Bruce Croft. Learning concept importance using a weighted dependence model. In Proc. of the 3rd ACM WSDM, pages 31-40, 2010.
7. Shane Bergsma and Qin Iris Wang. Learning noun phrase query segmentation. In Proc. of EMNLP-CoNLL, pages 819-826, 2007.
8. Stefan Büttcher, Charles L. A. Clarke, and Brad Lushman. Term proximity scoring for ad-hoc retrieval on very large text collections. In Proc. of the 29th ACM SIGIR, pages 621-622, 2006.
9. James P. Callan, W. Bruce Croft, and John Broglio. TREC and TIPSTER Experiments with INQUERY. In Information Processing & Management, pages 31-3. Morgan Kaufmann, 1994.
10. William S. Cooper. Some inconsistencies and misnomers in probabilistic information retrieval. In Proc. of the 14th ACM SIGIR, pages 57-61, 1991.
11. Gordon V. Cormack, Mark D. Smucker, and Charles L. A. Clarke. Efficient and effective spam filtering and re-ranking for large web datasets. Information retrieval, 14(5): 441-465, 2011.
12. W Bruce Croft, Donald Metzler, and Trevor Strohman. Search engines: Information retrieval in practice. Addison-Wesley Reading, 2010.
13. Jianfeng Gao, Jian-Yun Nie, Guangyuan Wu, and Guihong Cao. Dependence language model for information retrieval. In Proc. of the 27th ACM SIGIR, pages 170-177, 2004.
14. Samuel Huston and W. Bruce Croft. Parameters learned in the comparison of retrieval models using term dependencies. Ir, University of Massachusetts, 2014.
15. Rosie Jones, Benjamin Rey, Omid Madani, and Wiley Greiner. Generating query substitutions. In Proc. of the 15th WWW, pages 387-396, 2006.
16. Y. Lv and C.X. Zhai. Positional language models for information retrieval. In Proc. of the 32nd ACM SIGIR, pages 299-306. ACM, 2009.
17. K. Tamsin Maxwell and W. Bruce Croft. Compact query term selection using topically related text. In Proc. of the 36th ACM SIGIR, pages 583-592, 2013.
18. Donald Metzler. Using gradient descent to optimize language modeling smoothing parameters. In Proc. of the 30th ACM SIGIR, pages 687-688.
19. Donald Metzler and W. Bruce Croft. A Markov random field model for term dependencies. In Proc. of the 28th ACM SIGIR, pages 472-479, 2005.
20. Jae Hyun Park, W. Bruce Croft, and David A. Smith. A quasi-synchronous dependence model for information retrieval. In Proc. of the 20th ACM CIKM, pages 17-26, 2011.
21. Jie Peng, Craig Macdonald, Ben He, Vassilis Plachouras, and Iadh Ounis. Incorporating term dependency in the dfr framework. In Proc. of the 30th ACM SIGIR, pages 843-844, 2007.
22. Jay M. Ponte and W. Bruce Croft. A language modeling approach to information retrieval. In Proc. of the 21st ACM SIGIR, pages 275-281, 1998.
23. Fiana Raiber and Oren Kurland. Ranking document clusters using markov random fields. In Proc. of the 36th ACM SIGIR, pages 333-342, 2013.
24. Yves Rasolofo and Jacques Savoy. Term proximity scoring for keyword-based retrieval systems. In Proc. of the 25th ECIR, pages 207-218, 2003.
25. Knut Magne Risvik, Tomasz Mikolajewski, and Peter Boros. Query segmentation for web search. In Proc. of the 12th WWW, 2003.
26. S. E. Robertson and S. Walker. Some simple effective approximations to the 2-poisson model for probabilistic weighted retrieval. In Proc. of the 17th ACM SIGIR, pages 232-241, 1994.
27. Stephen E Robertson and K Sparck Jones. Relevance weighting of search terms. Journal of the American Society for Information science, 27(3): 129-146, 1976.
28. Mark D. Smucker, James Allan, and Ben Carterette. A comparison of statistical significance tests for information retrieval evaluation. In Proc. of the 16th ACM CIKM, pages 623-632, 2007.
29. Fei Song and W. Bruce Croft. A general language model for information retrieval. In Proc. of the 8th CIKM, pages 316-321, 1999.
30. Ruihua Song, Michael J. Taylor, Ji-Rong Wen, Hsiao-Wuen Hon, and Yong Yu. Viewing term proximity from a different perspective. In Proc. 30th ECIR, pages 346-357, 2008.
31. Munirathnam Srikanth and Rohini Srihari. Incorporating query term dependencies in language models for document retrieval. In Proc. of the 26th ACM SIGIR, pages 405-406, 2003.
32. Krysta M. Svore, Pallika H. Kanani, and Nazan Khan. How good is a span of terms?: exploiting proximity to improve web retrieval. In Proc. of the 33rd ACM SIGIR, pages 154-161, 2010.
33. Tao Tao and ChengXiang Zhai. An exploration of proximity measures in information retrieval. In Proc. of the 30th ACM SIGIR, pages 295-302, 2007.