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Volumn 2, Issue , 2017, Pages 427-431

Bag of tricks for efficient text classification

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL LINGUISTICS; DEEP LEARNING;

EID: 85021687289     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/e17-2068     Document Type: Conference Paper
Times cited : (2609)

References (23)
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    • Helsinki, Finland. ACM
    • Ronan Collobert and Jason Weston. 2008. A unified architecture for natural language processing: Deep neural networks with multitask learning. In Proceedings of the 25th International Conference on Machine Learning, ICML '08, pages 160-167, Helsinki, Finland. ACM
    • (2008) Proceedings of the 25th International Conference on Machine Learning, ICML '08 , pp. 160-167
    • Collobert, R.1    Weston, J.2
  • 7
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • Chemnitz, Germany. Springer Berlin Heidelberg
    • Thorsten Joachims. 1998. Text categorization with support vector machines: Learning with many relevant features. In Claire Nedellec and Celine Rouveirol, editors, 10th European Conference on Machine Learning, pages 137-142, Chemnitz, Germany. Springer Berlin Heidelberg
    • (1998) Claire Nedellec and Celine Rouveirol, Editors, 10th European Conference on Machine Learning , pp. 137-142
    • Joachims, T.1
  • 8
    • 84961376850 scopus 로고    scopus 로고
    • Convolutional neural networks for sentence classification
    • Doha, Qatar, October. Association for Computational Linguistics
    • Yoon Kim. 2014. Convolutional neural networks for sentence classification. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1746-1751, Doha, Qatar, October. Association for Computational Linguistics
    • (2014) Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pp. 1746-1751
    • Kim, Y.1
  • 10
    • 0001673996 scopus 로고    scopus 로고
    • A comparison of event models for naive bayes text classification
    • Madison, USA
    • Andrew McCallum and Kamal Nigam. 1998. A comparison of event models for naive bayes text classification. In AAAI workshop on learning for text categorization, pages 41-48, Madison, USA
    • (1998) AAAI Workshop on Learning for Text Categorization , pp. 41-48
    • McCallum, A.1    Nigam, K.2
  • 15
    • 84959928037 scopus 로고    scopus 로고
    • Document modeling with gated recurrent neural network for sentiment classification
    • Lisbon, Portugal, September. Association for Computational Linguistics
    • Duyu Tang, Bing Qin, and Ting Liu. 2015. Document modeling with gated recurrent neural network for sentiment classification. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 1422-1432, Lisbon, Portugal, September. Association for Computational Linguistics
    • (2015) Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing , pp. 1422-1432
    • Tang, D.1    Qin, B.2    Liu, T.3
  • 23
    • 84965162393 scopus 로고    scopus 로고
    • Character-level convolutional networks for text classification
    • Montreal, Canada
    • Xiang Zhang, Junbo Zhao, and Yann LeCun. 2015. Character-level convolutional networks for text classification. In Advances in Neural Information Processing Systems 28, pages 649-657, Montreal, Canada
    • (2015) Advances in Neural Information Processing Systems , vol.28 , pp. 649-657
    • Zhang, X.1    Zhao, J.2    LeCun, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.