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Volumn 1, Issue , 2008, Pages 649-656

Semantic classification with distributional kernels

Author keywords

[No Author keywords available]

Indexed keywords

CO-OCCURRENCE PROBABILITY; DATA SETS; KERNEL METHODS; LEXICAL SIMILARITY; NATURAL LANGUAGE PROCESSING; SEMANTIC CLASSIFICATION; SEMANTIC RELATIONS;

EID: 77956469209     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (30)

References (34)
  • 1
    • 33746909470 scopus 로고    scopus 로고
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    • (2006) Informatica , vol.30 , Issue.2 , pp. 163-172
    • Basili, R.1    Cammisa, M.2    Moschitti, A.3
  • 5
    • 0004319559 scopus 로고
    • British National Corpus Consortium, Oxford University Computing Service
    • Burnard, Lou, 1995. Users' Guide for the British National Corpus. British National Corpus Consortium, Oxford University Computing Service.
    • (1995) Users' Guide for the British National Corpus
    • Burnard, L.1
  • 7
    • 0032594951 scopus 로고    scopus 로고
    • Support vector machines for histogram-based image classification
    • Chapelle, Olivier, Patrick Haffner, and Vladimir N. Vapnik. 1999. Support vector machines for histogram-based image classification. IEEE Transactions on Neural Networks, 10(5): 1055-1064.
    • (1999) IEEE Transactions on Neural Networks , vol.10 , Issue.5 , pp. 1055-1064
    • Chapelle, O.1    Haffner, P.2    Vapnik, V.N.3
  • 8
    • 34249753618 scopus 로고
    • Support vector networks
    • Cortes, Corinna and Vladimir Vapnik. 1995. Support vector networks. Machine Learning, 20(3):273-297.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 12
    • 0032633485 scopus 로고    scopus 로고
    • Similarity-based models of word cooccurrence probabilities
    • Dagan, Ido, Lillian Lee, and Fernando Pereira. 1999. Similarity-based models of word cooccurrence probabilities. Machine Learning, 34(1-4):43-69.
    • (1999) Machine Learning , vol.34 , Issue.1-4 , pp. 43-69
    • Dagan, I.1    Lee, L.2    Pereira, F.3
  • 23
    • 0036161242 scopus 로고    scopus 로고
    • Text categorization with support vector machines. How to represent texts in input space?
    • Leopold, Edda and Jörg Kindermann. 2002. Text categorization with support vector machines. how to represent texts in input space? Machine Learning, 46(1-3):423-444.
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 423-444
    • Leopold, E.1    Kindermann, J.2
  • 25
    • 84992162860 scopus 로고    scopus 로고
    • Discovery of inference rules for question answering
    • Lin, Dekang and Patrick Pantel. 2001. Discovery of inference rules for question answering. Natural Language Engineering, 7(4):343-360.
    • (2001) Natural Language Engineering , vol.7 , Issue.4 , pp. 343-360
    • Lin, D.1    Pantel, P.2
  • 29
    • 78649722993 scopus 로고    scopus 로고
    • Ph.D. thesis, Computer Laboratory, University of Cambridge. In preparation
    • Ó Séaghdha, Diarmuid. 2008. Learning Compound Noun Semantics. Ph.D. thesis, Computer Laboratory, University of Cambridge. In preparation.
    • (2008) Learning Compound Noun Semantics
    • Diarmuid, O.S.1
  • 32
    • 33748661515 scopus 로고    scopus 로고
    • Similarity of semantic relations
    • Turney, Peter D. 2006. Similarity of semantic relations. Computational Linguistics, 32(3):379-416.
    • (2006) Computational Linguistics , vol.32 , Issue.3 , pp. 379-416
    • Turney, P.D.1
  • 33
    • 33646389801 scopus 로고    scopus 로고
    • Co-occurrence retrieval: A flexible framework for lexical distributional similarity
    • Weeds, Julie and David Weir. 2005. Co-occurrence retrieval: A flexible framework for lexical distributional similarity. Computational Linguistics, 31(4):439-476.
    • (2005) Computational Linguistics , vol.31 , Issue.4 , pp. 439-476
    • Weeds, J.1    Weir, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.