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Finding similar questions in large question and answer archives
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Proceedings of the 14th ACM international conference on Information and knowledge management table of contents
Bremen, Germany
SESSION: Paper session IR-2 (information retrieval): question answering table of contents
Pages: 84 - 90  
Year of Publication: 2005
ISBN:1-59593-140-6
Authors
Jiwoon Jeon  University of Massachusetts, Amherst, MA
W. Bruce Croft  University of Massachusetts, Amherst, MA
Joon Ho Lee  University of Massachusetts, Amherst, MA
Sponsors
ACM: Association for Computing Machinery
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 23,   Downloads (12 Months): 161,   Citation Count: 23
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ABSTRACT

There has recently been a significant increase in the number of community-based question and answer services on the Web where people answer other peoples' questions. These services rapidly build up large archives of questions and answers, and these archives are a valuable linguistic resource. One of the major tasks in a question and answer service is to find questions in the archive that a semantically similar to a user's question. This enables high quality answers from the archive to be retrieved and removes the time lag associated with a community-based system. In this paper, we discuss methods for question retrieval that are based on using the similarity between answers in the archive to estimate probabilities for a translation-based retrieval model. We show that with this model it is possible to find semantically similar questions with relatively little word overlap.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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E. M. Voorhees. Overview of the TREC 2004 question answering track. In Proceedings of the Thirteenth Text Retrieval Conference, 2004.
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CITED BY  23

Collaborative Colleagues:
Jiwoon Jeon: colleagues
W. Bruce Croft: colleagues
Joon Ho Lee: colleagues