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Volumn , Issue , 2005, Pages 11-18

Extracting knowledge from evaluative text

Author keywords

Feature extraction; Multi document summarization; Semantic mapping; Term similarity; User input

Indexed keywords

IMPROVED METHODS; MULTI-DOCUMENT SUMMARIZATION; POLARITY DETERMINATION; PRIOR KNOWLEDGE; SEMANTIC MAPPING; STRENGTH EVALUATION; TERM SIMILARITY; UNSUPERVISED METHOD; USER INPUT;

EID: 33750740871     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1088622.1088626     Document Type: Conference Paper
Times cited : (148)

References (19)
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    • D. Kushal, S. Lawrence, and D. M. Pennock. Mining the peanut gallery: Opinion extraction and semantic classification of product reviews. In Proc. 12th Int'l Conf. on WWW, 2003.
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    • Kushal, D.1    Lawrence, S.2    Pennock, D.M.3
  • 12
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    • An information-theoretic definition of similarity
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    • (1998) Proc. 2nd Int'l Conf. on ML
    • Lin, D.1
  • 16
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    • Using information content to evaluate semantic similarity in a taxonomy
    • P. Resnik. Using information content to evaluate semantic similarity in a taxonomy. In IJCAI, 1995.
    • (1995) IJCAI
    • Resnik, P.1
  • 17
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    • Characterising measures of lexical distributional similarity
    • J. Weeds, D. Weir, and D. McCarthy. Characterising measures of lexical distributional similarity. In Proc. COLING, 2004.
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    • Weeds, J.1    Weir, D.2    McCarthy, D.3
  • 18
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    • Just how mad are you? finding strong and weak opinion clauses
    • T. Wilson, J. Wiebe, and R. Hwa. Just how mad are you? finding strong and weak opinion clauses. In Proc. AAAI, 2004.
    • (2004) Proc. AAAI
    • Wilson, T.1    Wiebe, J.2    Hwa, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.