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Volumn , Issue , 2016, Pages 458-463

MITRE at SemEval-2016 Task 6: Transfer learning for Stance detection

Author keywords

[No Author keywords available]

Indexed keywords

LARGE DATASET; SEMANTICS;

EID: 85035790537     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/s16-1074     Document Type: Conference Paper
Times cited : (147)

References (17)
  • 1
    • 84971640658 scopus 로고    scopus 로고
    • Franois Chollet. 2015. Keras. https://github. com/fchollet/keras.
    • (2015) Keras
    • Chollet, F.1
  • 4
    • 0031573117 scopus 로고    scopus 로고
    • Long short-term memory
    • November
    • Sepp Hochreiter and Jürgen Schmidhuber. 1997. Long short-term memory. Neural Computation, 9(8):1735-1780, November.
    • (1997) Neural Computation , vol.9 , Issue.8 , pp. 1735-1780
    • Hochreiter, S.1    Schmidhuber, J.2
  • 6
    • 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.
    • (2013) ICLR Workshop
    • Mikolov, T.1    Chen, K.2    Corrado, G.3    Dean, J.4
  • 9
    • 84978710849 scopus 로고    scopus 로고
    • Sentiment analysis: Detecting valence, emotions, and other affectual states from text
    • Herb Meiselman, editor, Elsevier
    • Saif M. Mohammad. 2016. Sentiment analysis: Detecting valence, emotions, and other affectual states from text. In Herb Meiselman, editor, Emotion Measurement. Elsevier.
    • (2016) Emotion Measurement
    • Mohammad, S.M.1
  • 10
    • 80053413369 scopus 로고    scopus 로고
    • Supportor oppose?: Classifying positions in online debates from reply activities and opinion expressions
    • Association for Computational Linguistics
    • Akiko Murakami and Rudy Raymond. 2010. Supportor oppose?: classifying positions in online debates from reply activities and opinion expressions. In Proceedings of the 23rd International Conference on Computational Linguistics: Posters, pages 869-875. Association for Computational Linguistics.
    • (2010) Proceedings of the 23rd International Conference on Computational Linguistics: Posters , pp. 869-875
    • Murakami, A.1    Raymond, R.2
  • 14
    • 80053357527 scopus 로고    scopus 로고
    • Get out the vote: Determining support or opposition from congressional floor-debate transcripts
    • Association for Computational Linguistics
    • Matt Thomas, Bo Pang, and Lillian Lee. 2006. Get out the vote: Determining support or opposition from congressional floor-debate transcripts. In Proceedings of the 2006 conference on empirical methods in natural language processing, pages 327-335. Association for Computational Linguistics.
    • (2006) Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing , pp. 327-335
    • Thomas, M.1    Pang, B.2    Lee, L.3
  • 17
    • 84937508363 scopus 로고    scopus 로고
    • How transferable are features in deep neural networks?
    • Z. Ghahramani, M. Welling, C. Cortes, N.d. Lawrence, and K.q. Weinberger, editors, Curran Associates, Inc
    • Jason Yosinski, Jeff Clune, Yoshua Bengio, and Hod Lipson. 2014. How transferable are features in deep neural networks? In Z. Ghahramani, M. Welling, C. Cortes, N.d. Lawrence, and K.q. Weinberger, editors, Advances in Neural Information Processing Systems 27, pages 3320-3328. Curran Associates, Inc.
    • (2014) Advances in Neural Information Processing Systems 27 , pp. 3320-3328
    • Yosinski, J.1    Clune, J.2    Bengio, Y.3    Lipson, H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.