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Volumn 2, Issue , 2010, Pages 1263-1271

Estimating linear models for compositional distributional semantics

Author keywords

[No Author keywords available]

Indexed keywords

ADDITIVE MODELS; DEPENDENT VARIABLES; DISTRIBUTIONAL MODELS; ESTIMATION METHODS; REGRESSION MODEL;

EID: 80053408124     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (126)

References (24)
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    • (1964) The Philosophy of Linguistics
    • Harris, Z.1
  • 10
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    • Representing word meaning and order information in a composite holographic lexicon
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    • Douglas, J.1    Jones, M.N.2    Mewhort, K.3
  • 14
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    • DIRTdiscovery of inference rules from text
    • San Francisco, CA. Manning, Christopher D. Prabhakar Raghavan, and Hinrich Scḧutze. 2008. Introduction to Information Retrieval. Cambridge University Press, Cambridge, UK
    • Lin, Dekang and Patrick Pantel. 2001. DIRTdiscovery of inference rules from text. In Proceedings of the ACM Conference on Knowledge Discovery and Data Mining (KDD-01). San Francisco, CA. Manning, Christopher D., Prabhakar Raghavan, and Hinrich Scḧutze. 2008. Introduction to Information Retrieval. Cambridge University Press, Cambridge, UK.
    • (2001) Proceedings of the ACM Conference on Knowledge Discovery and Data Mining (KDD-01)
    • Lin, D.1    Pantel, P.2
  • 15
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    • DOI 10.1162/089120103322753365
    • McCarthy, Diana and John Carroll. 2003. Disambiguating nouns, verbs, and adjectives using automatically acquired selectional preferences. Computational Linguistics, 29(4):639-654. (Pubitemid 39056499)
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    • McCarthy, D.1    Carroll, J.2
  • 17
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    • WordNet: A lexical database for English
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  • 18
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    • Vector-based models of semantic composition
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    • Mitchell, Jeff and Mirella Lapata. 2008. Vector-based models of semantic composition. In proceedings of ACL-08: HLT, pages 236-244, Columbus, Ohio. Association for Computational Linguistics.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.