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Volumn , Issue , 2014, Pages 68-77

Looking for hyponyms in vector space

Author keywords

[No Author keywords available]

Indexed keywords

SEMANTICS;

EID: 84973527850     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/w14-1608     Document Type: Conference Paper
Times cited : (45)

References (33)
  • 4
    • 38149025123 scopus 로고    scopus 로고
    • Ontology learning from text: A survey of methods
    • Chris Biemann. 2005. Ontology learning from text: A survey of methods. LDV Forum, 20(2002):75–93.
    • (2005) LDV Forum , vol.20 , Issue.2002 , pp. 75-93
    • Biemann, C.1
  • 9
    • 85188826615 scopus 로고    scopus 로고
    • Context-theoretic semantics for natural language: An overview
    • number March, Association for Computational Linguistics
    • Daoud Clarke. 2009. Context-theoretic semantics for natural language: an overview. In Proceedings of the Workshop on Geometrical Models of Natural Language Semantics, number March, pages 112–119. Association for Computational Linguistics.
    • (2009) Proceedings of the Workshop on Geometrical Models of Natural Language Semantics , pp. 112-119
    • Clarke, D.1
  • 13
    • 33846590257 scopus 로고    scopus 로고
    • Similarity-based models of word cooccurrence probabilities
    • Ido Dagan, Lillian Lee, and Fernando C. N. Pereira. 1999. Similarity-based models of word cooccurrence probabilities. Machine Learning, 31:1–31.
    • (1999) Machine Learning , vol.31 , pp. 1-31
    • Dagan, I.1    Lee, L.2    Pereira, F.C.N.3
  • 15
    • 0012990385 scopus 로고
    • Automatic acquisition of hyponyms from large text corpora
    • number July, Morristown, NJ, USA. Association for Computational Linguistics
    • Marti A. Hearst. 1992. Automatic acquisition of hyponyms from large text corpora. In Proceedings of the 14th conference on Computational linguistics (COLING’92), number July, page 539, Morristown, NJ, USA. Association for Computational Linguistics.
    • (1992) Proceedings of the 14th Conference on Computational Linguistics (COLING’92) , pp. 539
    • Hearst, M.A.1
  • 17
    • 85143523004 scopus 로고    scopus 로고
    • Automatic retrieval and clustering of similar words
    • Association for Computational Linguistics
    • Dekang Lin. 1998. Automatic retrieval and clustering of similar words. In Proceedings of the 17th international conference on Computational linguistics-Volume 2, pages 768–774. Association for Computational Linguistics.
    • (1998) Proceedings of the 17th International Conference on Computational Linguistics , vol.2 , pp. 768-774
    • Lin, D.1
  • 18
    • 85083951332 scopus 로고    scopus 로고
    • Efficient estimation of word representations in vector space
    • Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013a. Efficient Estimation of Word Representations in Vector Space. ICLR Workshop, pages 1–12.
    • (2013) ICLR Workshop , pp. 1-12
    • Mikolov, T.1    Chen, K.2    Corrado, G.3    Dean, J.4
  • 20
    • 84976702763 scopus 로고
    • WordNet: A lexical database for english
    • George A. Miller. 1995. WordNet: a lexical database for English. Communications of the ACM, 38(11):39–41.
    • (1995) Communications of the ACM , vol.38 , Issue.11 , pp. 39-41
    • Miller, G.A.1
  • 28
    • 84866880930 scopus 로고    scopus 로고
    • Domain and function: A dual-space model of semantic relations and compositions
    • Peter D. Turney. 2012. Domain and function: A dual-space model of semantic relations and compositions. Journal of Artificial Intelligence Research, 44:533–585.
    • (2012) Journal of Artificial Intelligence Research , vol.44 , pp. 533-585
    • Turney, P.D.1
  • 29
    • 0344769468 scopus 로고    scopus 로고
    • Hierarchical clustering of words and application to NLP tasks
    • Akira Ushioda. 1996. Hierarchical clustering of words and application to NLP tasks. In Fourth Workshop on Very Large Corpora, pages 28–41.
    • (1996) Fourth Workshop on Very Large Corpora , pp. 28-41
    • Ushioda, A.1
  • 30
    • 0037926582 scopus 로고    scopus 로고
    • Enriching a lexical semantic net with selectional preferences by means of statistical corpus analysis
    • Andreas Wagner. 2000. Enriching a lexical semantic net with selectional preferences by means of statistical corpus analysis. In ECAI Workshop on Ontology Learning.
    • (2000) ECAI Workshop on Ontology Learning
    • Wagner, A.1
  • 31
    • 33646389801 scopus 로고    scopus 로고
    • Co-occurrence retrieval: A flexible framework for lexical distributional similarity
    • Julie Weeds and David Weir. 2005. Co-occurrence retrieval: A flexible framework for lexical distributional similarity. Computational Linguistics.
    • (2005) Computational Linguistics
    • Weeds, J.1    Weir, D.2
  • 33
    • 70349521675 scopus 로고    scopus 로고
    • Bootstrapping distributional feature vector quality
    • September
    • Maayan Zhitomirsky-Geffet and Ido Dagan. 2009. Bootstrapping Distributional Feature Vector Quality. Computational Linguistics, 35(3):435–461, September.
    • (2009) Computational Linguistics , vol.35 , Issue.3 , pp. 435-461
    • Zhitomirsky-Geffet, M.1    Dagan, I.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.