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Volumn 5632 LNAI, Issue , 2009, Pages 663-677

New semantic similarity based model for text clustering using extended gloss overlaps

Author keywords

Gloss overlaps measure; Semantic similarity measures; Text clustering; Word sense disambiguation; WordNet

Indexed keywords

GLOSS OVERLAPS MEASURE; SEMANTIC SIMILARITY MEASURES; TEXT CLUSTERING; WORD SENSE DISAMBIGUATION; WORDNET;

EID: 70350225972     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-03070-3_50     Document Type: Conference Paper
Times cited : (16)

References (23)
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    • An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
    • Li, Y., Zuhair, A., McLean, D.: An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources. IEEE Transactions on Knowledge and Data Engineering 15, 871-882 (2003)
    • (2003) IEEE Transactions on Knowledge and Data Engineering , vol.15 , pp. 871-882
    • Li, Y.1    Zuhair, A.2    McLean, D.3
  • 10
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    • Combining Local Context and WordNet Similarity for Word Sense Identification
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    • Patwardhan, S., Banerjee, S., Pedersen, T.: Using Measures of Semantic Relatedness for Word Sense Disambiguation. In: Gelbukh, A. (ed.) CICLing 2003. LNCS, 2588, pp. 241-257. Springer, Heidelberg (2003)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.