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AskDragon: a redundancy-based factoid question answering system with lightweight local context analysis

Published: 15 June 2009 Publication History

Abstract

We introduce our QA system AskDragon which employs a novel lightweight local context analysis technique to handling two broad classes of factoid questions, entity and numeric questions. The local context analysis module dramatically improves the efficiency of QA systems without sacrificing high accuracy performance.

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  1. AskDragon: a redundancy-based factoid question answering system with lightweight local context analysis

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    cover image ACM Conferences
    JCDL '09: Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
    June 2009
    502 pages
    ISBN:9781605583228
    DOI:10.1145/1555400

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 15 June 2009

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    Author Tags

    1. answer generation
    2. answer scoring
    3. local context analysis
    4. question answering
    5. redundancy-based approach

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    • Demonstration

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    JCDL '09
    JCDL '09: Joint Conference on Digital Libraries
    June 15 - 19, 2009
    TX, Austin, USA

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    Overall Acceptance Rate 415 of 1,482 submissions, 28%

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