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Improving QA retrieval using document priors

Published: 06 August 2006 Publication History

Abstract

We present a simple way to improve document retrieval for question answering systems. The method biases the retrieval system toward documents that contain words that have appeared in other documents containing answers to the same type of question. The method works with virtually any retrieval system, and exhibits a statistically significant performance improvement over a strong baseline.

References

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Charniak, E. 'A maximum-entropy-inspired parser.' Proceedings of the 1st Meeting of the NAACL. Seattle, Washington, pp. 132--139. 2000.
[2]
Cui, H., Sun, R., Li, K., Kan, M. and Chua, T. 'Question answering passage retrieval using dependency relations.' Proceedings of the 28th ACM SIGIR Conference, pp. 400--407. 2005.
[3]
Mayfield, J. and McNamee, P. 'The HAIRCUT information retrieval system.' Johns Hopkins APL Technical Digest 26(1):2--14. 2005.
[4]
Miller, D., Leek, T. and Schwartz, R. 'BBN at TREC7: Using hidden Markov models for information retrieval.' Proceedings of the Seventh Text REtrieval Conference (TREC-7), pp. 133--142. 1999.
[5]
Text REtrieval Conference Web site, http://trec.nist.gov/.
[6]
Voorhees, E. and Dang, H. 'Overview of the TREC 2005 Question Answering Track.' Notebook Proceedings of the Fourteenth Text REtrieval Conference, TREC 2005.

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    cover image ACM Conferences
    SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
    August 2006
    768 pages
    ISBN:1595933697
    DOI:10.1145/1148170
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 06 August 2006

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    Author Tags

    1. document priors
    2. document retrieval
    3. question answering

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    SIGIR06
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    SIGIR06: The 29th Annual International SIGIR Conference
    August 6 - 11, 2006
    Washington, Seattle, USA

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    Overall Acceptance Rate 792 of 3,983 submissions, 20%

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