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Volumn , Issue , 2015, Pages 1576-1586

Multi-perspective sentence similarity modeling with convolutional neural networks

Author keywords

[No Author keywords available]

Indexed keywords

CONVOLUTION; NATURAL LANGUAGE PROCESSING SYSTEMS; NEURAL NETWORKS; SEMANTICS;

EID: 84959913898     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/d15-1181     Document Type: Conference Paper
Times cited : (397)

References (44)
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    • Bottou, L.1
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    • Using machine translation evaluation techniques to determine sentence-level semantic equivalence
    • Andrew Finch. 2005. Using machine translation evaluation techniques to determine sentence-level semantic equivalence. In Proceedings of the International Workshop on Paraphrasing.
    • (2005) Proceedings of the International Workshop on Paraphrasing
    • Finch, A.1
  • 16
    • 0029727454 scopus 로고    scopus 로고
    • Learning task-dependent distributed representations by backpropagation through structure
    • Christoph Goller and Andreas Kuchler. 1996. Learning task-dependent distributed representations by backpropagation through structure. In Proceedings of the International Conference on Neural Networks, pages 347-352.
    • (1996) Proceedings of the International Conference on Neural Networks , pp. 347-352
    • Goller, C.1    Kuchler, A.2
  • 19
    • 84937936034 scopus 로고    scopus 로고
    • Convolutional neural network architectures for matching natural language sentences
    • Baotian Hu, Zhengdong Lu, Hang Li, and Qingcai Chen. 2014. Convolutional neural network architectures for matching natural language sentences. In Advances in Neural Information Processing Systems, pages 2042-2050.
    • (2014) Advances in Neural Information Processing Systems , pp. 2042-2050
    • Hu, B.1    Lu, Z.2    Li, H.3    Chen, Q.4
  • 28
    • 85111042767 scopus 로고    scopus 로고
    • SemEval-2014 task 1: Evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment
    • Marco Marelli, Luisa Bentivogli, Marco Baroni, Raffaella Bernardi, Stefano Menini, and Roberto Zamparelli. 2014. SemEval-2014 task 1: evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment. International Workshop on Semantic Evaluation.
    • (2014) International Workshop on Semantic Evaluation
    • Marelli, M.1    Bentivogli, L.2    Baroni, M.3    Bernardi, R.4    Menini, S.5    Zamparelli, R.6
  • 37
    • 77952713589 scopus 로고    scopus 로고
    • Using dependency-based features to take the "para-farce" out of paraphrase
    • Stephen Wan, Mark Dras, Robert Dale, and Cecile Paris. 2006. Using Dependency-based Features to Take the "Para-farce" out of Paraphrase. In Australasian Language Technology Workshop, pages 131-138.
    • (2006) Australasian Language Technology Workshop , pp. 131-138
    • Wan, S.1    Dras, M.2    Dale, R.3    Paris, C.4
  • 43
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    • ECNU: One stone two birds: Ensemble of heterogenous measures for semantic relatedness and textual entailment
    • Jiang Zhao, Tian Tian Zhu, and Man Lan. 2014. ECNU: one stone two birds: ensemble of heterogenous measures for semantic relatedness and textual entailment. International Workshop on Semantic Evaluation.
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    • Zhao, J.1    Tian Zhu, T.2    Lan, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.