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Volumn , Issue , 2016, Pages 389-393

USFD at SemEval-2016 task 6: Any-target stance detection on twitter with autoencoders

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; SEMANTICS;

EID: 85027866777     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/s16-1063     Document Type: Conference Paper
Times cited : (45)

References (18)
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    • Xavier Glorot, Antoine Bordes, and Yoshua Bengio. 2011. Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach. In Lise Getoor and Tobias Scheffer, editors, Proceedings of the 28th International Conference on Machine Learning (ICML-11), pages 513-520, New York, NY, USA. ACM.
    • (2011) Proceedings of the 28th International Conference on Machine Learning (ICML-11) , pp. 513-520
    • Glorot, X.1    Bordes, A.2    Bengio, Y.3
  • 5
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    • Asian Federation of Natural Language Processing/ACL
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    • Hasan, K.S.1    Ng, V.2
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    • Adam: A method for stochastic optimization
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    • Diederik P. Kingma and Jimmy Ba. 2014. Adam: A Method for Stochastic Optimization. CoRR, abs/1412.6980.
    • (2014) CoRR
    • Kingma, D.P.1    Ba, J.2
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    • Distributed representations of words and phrases and their compositionality
    • C. J. C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K. Q. Weinberger, editors, Curran Associates, Inc
    • Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013. Distributed Representations of Words and Phrases and their Compositionality. In C. J. C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K. Q. Weinberger, editors, Advances in Neural Information Processing Systems 26, pages 3111-3119. Curran Associates, Inc.
    • (2013) Advances in Neural Information Processing Systems , vol.26 , pp. 3111-3119
    • Mikolov, T.1    Sutskever, I.2    Chen, K.3    Corrado, G.S.4    Dean, J.5
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    • Gated neural networks for targeted sentiment analysis
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    • Meishan Zhang, Yue Zhang, and Duy-Tin Vo. 2016. Gated Neural Networks for Targeted Sentiment Analysis. In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, Phoenix, Arizona, USA. Association for the Advancement of Artificial Intelligence.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.