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    Design and development of a concept-based multi-document summarization system for research abstracts

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    Authors
    Ou, Shiyan
    Khoo, Christopher S.G.
    Goh, Dion H.
    Issue Date
    2008
    
    Metadata
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    Abstract
    This paper describes a new concept-based multi-document summarization system that employs discourse parsing, information extraction and information integration. Dissertation abstracts in the field of sociology were selected as sample documents for this study. The summarization process includes four major steps — (1) parsing dissertation abstracts into five standard sections; (2) extracting research concepts (often operationalized as research variables) and their relationships, the research methods used and the contextual relations from specific sections of the text; (3) integrating similar concepts and relationships across different abstracts; and (4) combining and organizing the different kinds of information using a variable-based framework, and presenting them in an interactive web-based interface. The accuracy of each summarization step was evaluated by comparing the system-generated output against human coding. The user evaluation carried out in the study indicated that the majority of subjects (70%) preferred the concept-based summaries generated using the system to the sentence-based summaries generated using traditional sentence extraction techniques.
    Citation
    Journal of Information Science, 34 (3): 308-326
    Publisher
    Sage
    Journal
    Journal of Information Science
    URI
    http://hdl.handle.net/2436/27899
    DOI
    10.1177/0165551507084630
    Additional Links
    http://jis.sagepub.com/cgi/content/abstract/34/3/308
    Type
    Journal article
    Language
    en
    ISSN
    01655515
    00000000
    ae974a485f413a2113503eed53cd6c53
    10.1177/0165551507084630
    Scopus Count
    Collections
    Research Institute in Information and Language Processing

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