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Type nanotheories: a framework for term comparison

Published: 06 November 2007 Publication History

Abstract

We present in this paper Type Nanotheories (TN), a framework for representing the knowledge necessary for performing similarity comparisons between pairs of terms of the same type. TN itself uses another methodology, namely Support Outcomes, which is also introduced. Many IR and NLP applications use redundancy as a factor to increase confidence, and TN-based comparisons can determine redundancy better than simple string comparisons. Results include a showing of a 14% increase in Confidence-Weighted Score for an end-to-end QA system and an up to 68% improvement over baseline in an answer-key equivalencing experiment.

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Cited By

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  • (2010)Identifying functional relations in web textProceedings of the 2010 Conference on Empirical Methods in Natural Language Processing10.5555/1870658.1870781(1266-1276)Online publication date: 9-Oct-2010
  • (2009)Learning to rank for quantity consensus queriesProceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval10.1145/1571941.1571985(243-250)Online publication date: 19-Jul-2009
  • (2008)Robust similarity measures for named entities matchingProceedings of the 22nd International Conference on Computational Linguistics - Volume 110.5555/1599081.1599156(593-600)Online publication date: 18-Aug-2008

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    cover image ACM Conferences
    CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
    November 2007
    1048 pages
    ISBN:9781595938039
    DOI:10.1145/1321440
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    Published: 06 November 2007

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    Author Tags

    1. question answering
    2. term comparison
    3. type systems

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    View all
    • (2010)Identifying functional relations in web textProceedings of the 2010 Conference on Empirical Methods in Natural Language Processing10.5555/1870658.1870781(1266-1276)Online publication date: 9-Oct-2010
    • (2009)Learning to rank for quantity consensus queriesProceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval10.1145/1571941.1571985(243-250)Online publication date: 19-Jul-2009
    • (2008)Robust similarity measures for named entities matchingProceedings of the 22nd International Conference on Computational Linguistics - Volume 110.5555/1599081.1599156(593-600)Online publication date: 18-Aug-2008

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