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Lyon
Aug. 22, 2011 to Aug. 27, 2011
ISBN: 978-1-4577-1373-6
pp: 114-117
ABSTRACT
Single document summarization is useful for extracting the major ideas from huge amount of daily information. However, it's a challenge to distinguish the relative importance among terms. In this paper, we propose a Web-based approach to term verification. Search-results of extracted terms are utilized as their expanded representation, and their similarity with the original document are calculated as an estimate of term representative ness. We experimented with term extraction methods on multilingual news extracts and compared the effectiveness of term verification with various Jaccard similarity measures. The experimental results show the feasibility of Web-based verification on the representativeness of extracted terms.
INDEX TERMS
term verification, short text, Web mining
CITATION
Jenq-Haur Wang, "Web-Based Verification on the Representativeness of Terms Extracted from Single Short Documents", WI-IAT, 2011, 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies, 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies 2011, pp. 114-117, doi:10.1109/WI-IAT.2011.258
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