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Volumn , Issue , 2016, Pages 2249-2255

A decomposable attention model for natural language inference

Author keywords

[No Author keywords available]

Indexed keywords

ATTENTION MODEL; NATURAL LANGUAGES; NEURAL ARCHITECTURES; STANFORD; STATE OF THE ART; SUB-PROBLEMS; WORD ORDERS;

EID: 85072820995     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/d16-1244     Document Type: Conference Paper
Times cited : (1305)

References (31)
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  • 5
    • 84959892771 scopus 로고    scopus 로고
    • A large annotated corpus for learning natural language inference
    • Samuel R. Bowman, Gabor Angeli, Christopher Potts, and Christopher D. Manning. 2015. A large annotated corpus for learning natural language inference. In Proceedings of EMNLP.
    • (2015) Proceedings of EMNLP
    • Bowman, S.R.1    Angeli, G.2    Potts, C.3    Manning, C.D.4
  • 8
    • 85072834801 scopus 로고    scopus 로고
    • Long short-term memory-networks for machine reading
    • Jianpeng Cheng, Li Dong, and Mirella Lapata. 2016. Long short-term memory-networks for machine reading. In Proceedings of EMNLP.
    • (2016) Proceedings of EMNLP
    • Cheng, J.1    Dong, L.2    Lapata, M.3
  • 9
    • 84859902208 scopus 로고    scopus 로고
    • Paraphrase identification as probabilistic quasi-synchronous recognition
    • Dipanjan Das and Noah A. Smith. 2009. Paraphrase identification as probabilistic quasi-synchronous recognition. In Proceedings of ACL-IJCNLP.
    • (2009) Proceedings of ACL-IJCNLP
    • Das, D.1    Smith, N.A.2
  • 10
    • 80052250414 scopus 로고    scopus 로고
    • Adaptive subgradient methods for online learning and stochastic optimization
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    • (2011) The Journal of Machine Learning Research , vol.12 , pp. 2121-2159
    • Duchi, J.1    Hazan, E.2    Singer, Y.3
  • 16
    • 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 NIPS.
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    • Hu, B.1    Lu, Z.2    Li, H.3    Chen, Q.4
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    • A phrase-based alignment model for natural language inference
    • Bill MacCartney, Michel Galley, and Christopher D Manning. 2008. A phrase-based alignment model for natural language inference. In Proceedings of EMNLP.
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    • Learning natural language inference with LSTM
    • Shuohang Wang and Jing Jiang. 2016. Learning natural language inference with LSTM. In Proceedings of NAACL.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.