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Volumn , Issue , 2016, Pages 534-539

Combining recurrent and convolutional neural networks for relation classification

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL LINGUISTICS; CONVOLUTION;

EID: 84994104524     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/n16-1065     Document Type: Conference Paper
Times cited : (206)

References (16)
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    • 84943751885 scopus 로고    scopus 로고
    • Classifying relations by ranking with convolutional neural networks
    • Association for Computational Linguistics
    • Cícero Nogueira Dos Santos, Bing Xiang, and Bowen Zhou. 2015. Classifying relations by ranking with convolutional neural networks. In Proceedings of ACL. Association for Computational Linguistics.
    • (2015) Proceedings of ACL
    • Dos Santos, C.N.1    Xiang, B.2    Zhou, B.3
  • 6
    • 84961376850 scopus 로고    scopus 로고
    • Convolutional neural networks for sentence classification
    • Association for Computational Linguistics
    • Yoon Kim. 2014. Convolutional neural networks for sentence classification. In Proceedings of EMNLP. Association for Computational Linguistics.
    • (2014) Proceedings of EMNLP
    • Kim, Y.1
  • 9
    • 84988673432 scopus 로고    scopus 로고
    • Utd: Classifying semantic relations by combining lexical and semantic resources
    • Association for Computational Linguistics
    • Bryan Rink and Sanda Harabagiu. 2010a. Utd: Classifying semantic relations by combining lexical and semantic resources. In Proceedings of the Workshop on SemEval. Association for Computational Linguistics.
    • (2010) Proceedings of the Workshop on SemEval
    • Rink, B.1    Harabagiu, S.2
  • 10
    • 84988673432 scopus 로고    scopus 로고
    • Utd: Classifying semantic relations by combining lexical and semantic resources
    • Association for Computational Linguistics
    • Bryan Rink and Sanda Harabagiu. 2010b. Utd: Classifying semantic relations by combining lexical and semantic resources. In Proceedings of the Workshop on SemEval, pages 256-259. Association for Computational Linguistics.
    • (2010) Proceedings of the Workshop on SemEval , pp. 256-259
    • Rink, B.1    Harabagiu, S.2
  • 11
    • 84870715081 scopus 로고    scopus 로고
    • Semantic compositionality through recursive matrix-vector spaces
    • Association for Computational Linguistics
    • Richard Socher, Brody Huval, Christopher D Manning, and Andrew Y Ng. 2012. Semantic compositionality through recursive matrix-vector spaces. In Proceedings of EMNLP / CoNLL. Association for Computational Linguistics.
    • (2012) Proceedings of EMNLP / CoNLL
    • Socher, R.1    Huval, B.2    Manning, C.D.3    Ng, A.Y.4
  • 12
    • 84994106019 scopus 로고    scopus 로고
    • Isi: Automatic classification of relations between nominals using a maximum entropy classifier
    • Association for Computational Linguistics
    • Stephen Tratz and Eduard Hovy. 2010. Isi: automatic classification of relations between nominals using a maximum entropy classifier. In Proceedings of the Workshop on SemEval. Association for Computational Linguistics.
    • (2010) Proceedings of the Workshop on SemEval
    • Tratz, S.1    Hovy, E.2
  • 13
    • 0025503558 scopus 로고
    • Backpropagation through time: What it does and how to do it
    • Paul J Werbos. 1990. Backpropagation through time: what it does and how to do it. Proceedings of the IEEE.
    • (1990) Proceedings of the IEEE
    • Werbos, P.J.1
  • 15
    • 84959862537 scopus 로고    scopus 로고
    • Relation classification via convolutional deep neural network
    • Daojian Zeng, Kang Liu, Siwei Lai, Guangyou Zhou, and Jun Zhao. 2014. Relation classification via convolutional deep neural network. In Proceedings of COLING.
    • (2014) Proceedings of COLING
    • Zeng, D.1    Liu, K.2    Lai, S.3    Zhou, G.4    Zhao, J.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.