메뉴 건너뛰기




Volumn 1, Issue , 2018, Pages 328-339

Universal language model fine-tuning for text classification

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; OPEN SYSTEMS; TEXT PROCESSING;

EID: 85063079570     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/p18-1031     Document Type: Conference Paper
Times cited : (2684)

References (55)
  • 2
    • 84860524227 scopus 로고    scopus 로고
    • Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification
    • John Blitzer, Mark Dredze, and Fernando Pereira. 2007. Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. Annual Meeting-Association for Computational Linguistics 45(1):440. https://doi.org/10.1109/IRPS.2011.5784441.
    • (2007) Annual Meeting-Association for Computational Linguistics , vol.45 , Issue.1 , pp. 440
    • Blitzer, J.1    Dredze, M.2    Pereira, F.3
  • 10
    • 85086075538 scopus 로고    scopus 로고
    • Deep biaffine attention for neural dependency parsing
    • Timothy Dozat and Christopher D. Manning. 2017. Deep Biaffine Attention for Neural Dependency Parsing. In Proceedings of ICLR 2017.
    • (2017) Proceedings of ICLR 2017
    • Dozat, T.1    Manning, C.D.2
  • 18
    • 84969584486 scopus 로고    scopus 로고
    • Batch normalization: Accelerating deep network training by reducing internal covariate shift
    • Sergey Ioffe and Christian Szegedy. 2015. Batch normalization: Accelerating deep network training by reducing internal covariate shift. In International Conference on Machine Learning. pages 448-456.
    • (2015) International Conference on Machine Learning , pp. 448-456
    • Ioffe, S.1    Szegedy, C.2
  • 20
    • 84988840780 scopus 로고    scopus 로고
    • Supervised and semi-supervised text categorization using lstm for region embeddings
    • Rie Johnson and Tong Zhang. 2016. Supervised and semi-supervised text categorization using lstm for region embeddings. In International Conference on Machine Learning. pages 526-534.
    • (2016) International Conference on Machine Learning , pp. 526-534
    • Johnson, R.1    Zhang, T.2
  • 37
    • 78651084785 scopus 로고    scopus 로고
    • The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature
    • EWT Ngai, Yong Hu, YH Wong, Yijun Chen, and Xin Sun. 2011. The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature. Decision Support Systems 50(3):559-569.
    • (2011) Decision Support Systems , vol.50 , Issue.3 , pp. 559-569
    • Ngai, E.W.T.1    Hu, Y.2    Wong, Y.H.3    Chen, Y.4    Sun, X.5
  • 42
    • 85040601183 scopus 로고    scopus 로고
    • Semi-supervised multitask learning for sequence labeling
    • Marek Rei. 2017. Semi-supervised multitask learning for sequence labeling. In Proceedings of ACL 2017.
    • (2017) Proceedings of ACL 2017
    • Rei, M.1
  • 51
    • 1642319586 scopus 로고    scopus 로고
    • The TREC-8 question answering track evaluation
    • Ellen M Voorhees and Dawn M Tice. 1999. The trec-8 question answering track evaluation. In TREC. volume 1999, page 82.
    • (1999) TREC , vol.1999 , pp. 82
    • Voorhees, E.M.1    Tice, D.M.2
  • 55
    • 85054981994 scopus 로고    scopus 로고
    • Text classification improved by integrating bidirectional lstm with two-dimensional max pooling
    • Peng Zhou, Zhenyu Qi, Suncong Zheng, Jiaming Xu, Hongyun Bao, and Bo Xu. 2016. Text classification improved by integrating bidirectional lstm with two-dimensional max pooling. In Proceedings of COL-ING 2016.
    • (2016) Proceedings of COL-ING 2016
    • Zhou, P.1    Qi, Z.2    Zheng, S.3    Xu, J.4    Bao, H.5    Xu, B.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.