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Semantic verification for fact seeking engines

Published: 31 October 2005 Publication History

Abstract

We present the architecture of our web question answering (fact seeking) system and introduce a novel algorithm to validate semantic categories of the expected answers. When tested on the questions used by the prior research, our system demonstrated the performance comparable to the current state of the art systems. Our semantic verification algorithm has improved the accuracy of answers of the affected questions by 30%.

References

[1]
Dumais, S., Banko, M., Brill, E., Lin, J., and Ng, A. (2002). Web Question Answering: Is More Always Better? Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval, Tampere, Finland, August 11-15.
[2]
Roussinov, D. and Robles, J., Ding, Y., Experiments with Web QA System and TREC2004 Questions. In the proceedings of 2004 TREC conference. November 16-19, 2004, Gaithersburg, MD.
[3]
Voorhees, E. and Buckland, L.P., Eds. (2004). Proceedings of the Eleventh Text Retrieval Conference TREC 2004. Gaithersburg, Maryland, November 16-19

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    cover image ACM Conferences
    CIKM '05: Proceedings of the 14th ACM international conference on Information and knowledge management
    October 2005
    854 pages
    ISBN:1595931406
    DOI:10.1145/1099554
    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: 31 October 2005

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    Author Tags

    1. automated question answering
    2. internet
    3. world wide web

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    CIKM05
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    CIKM05: Conference on Information and Knowledge Management
    October 31 - November 5, 2005
    Bremen, Germany

    Acceptance Rates

    CIKM '05 Paper Acceptance Rate 77 of 425 submissions, 18%;
    Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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