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Volumn , Issue , 2016, Pages 795-804

Rationale-augmented convolutional neural networks for text classification

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); CONVOLUTION; INFORMATION RETRIEVAL SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; NEURAL NETWORKS;

EID: 85072827510     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/d16-1076     Document Type: Conference Paper
Times cited : (163)

References (31)
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    • Rie Johnson and Tong Zhang. 2015. Semi-supervised convolutional neural networks for text categorization via region embedding. In Advances in Neural Information Processing Systems (NIPs), pages 919-927.
    • (2015) Advances in Neural Information Processing Systems (NIPs) , pp. 919-927
    • Johnson, R.1    Zhang, T.2
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    • 77949506891 scopus 로고    scopus 로고
    • Generalized expectation criteria for semi-supervised learning with weakly labeled data
    • Gideon S Mann and Andrew McCallum. 2010. Generalized expectation criteria for semi-supervised learning with weakly labeled data. The Journal of Machine Learning Research, 11:955-984.
    • (2010) The Journal of Machine Learning Research , vol.11 , pp. 955-984
    • Mann, G.S.1    McCallum, A.2
  • 19
    • 85141280473 scopus 로고    scopus 로고
    • A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts
    • Association for Computational Linguistics
    • Bo Pang and Lillian Lee. 2004. A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. In Proceedings of the 42nd annual meeting on Association for Computational Linguistics, page 271. Association for Computational Linguistics.
    • (2004) Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics , pp. 271
    • Pang, B.1    Lee, L.2
  • 21
    • 80053225377 scopus 로고    scopus 로고
    • Closing the loop: Fast, interactive semi-supervised annotation with queries on features and instances
    • Association for Computational Linguistics
    • Burr Settles. 2011. Closing the loop: Fast, interactive semi-supervised annotation with queries on features and instances. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 1467- 1478. Association for Computational Linguistics.
    • (2011) Proceedings of the Conference on Empirical Methods in Natural Language Processing , pp. 1467-1478
    • Settles, B.1
  • 26
    • 84859028757 scopus 로고    scopus 로고
    • Automatically generating annotator rationales to improve sentiment classification
    • Association for Computational Linguistics
    • Ainur Yessenalina, Yejin Choi, and Claire Cardie. 2010. Automatically generating annotator rationales to improve sentiment classification. In Proceedings of the ACL 2010 Conference Short Papers, pages 336-341. Association for Computational Linguistics.
    • (2010) Proceedings of the ACL 2010 Conference Short Papers , pp. 336-341
    • Yessenalina, A.1    Choi, Y.2    Cardie, C.3
  • 27
    • 79958251080 scopus 로고    scopus 로고
    • Modeling annotators: A generative approach to learning from annotator rationales
    • Association for Computational Linguistics
    • Omar F Zaidan and Jason Eisner. 2008. Modeling annotators: A generative approach to learning from annotator rationales. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 31-40. Association for Computational Linguistics.
    • (2008) Proceedings of the Conference on Empirical Methods in Natural Language Processing , pp. 31-40
    • Zaidan, O.F.1    Eisner, J.2
  • 28
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    • Using” annotator rationales” to improve machine learning for text categorization
    • Citeseer
    • Omar Zaidan, Jason Eisner, and Christine D Piatko. 2007. Using” annotator rationales” to improve machine learning for text categorization. In HLT-NAACL, pages 260-267. Citeseer.
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    • Zaidan, O.1    Eisner, J.2    Piatko, C.D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.