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Volumn , Issue , 2016, Pages 1296-1306

Multilingual language processing from bytes

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; PIPELINE PROCESSING SYSTEMS; SPEECH RECOGNITION;

EID: 84994091928     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/n16-1155     Document Type: Conference Paper
Times cited : (143)

References (33)
  • 1
    • 27844439373 scopus 로고    scopus 로고
    • A framework for learning predictive structures from multiple tasks and unlabeled data
    • Rie Kubota Ando and Tong Zhang. 2005. A framework for learning predictive structures from multiple tasks and unlabeled data. The Journal of Machine Learning Research, 6:1817-1853.
    • (2005) The Journal of Machine Learning Research , vol.6 , pp. 1817-1853
    • Ando, R.K.1    Zhang, T.2
  • 5
    • 9444279724 scopus 로고    scopus 로고
    • Named entity extraction using adaboost
    • Taipei, Taiwan
    • Xavier Carreras, Lluís Màrques, and Lluís Padró. 2002. Named entity extraction using adaboost. In Proceedings of CoNLL-2002, pages 167-170. Taipei, Taiwan.
    • (2002) Proceedings of CoNLL-2002 , pp. 167-170
    • Carreras, X.1    Màrques, L.2    Padró, L.3
  • 8
    • 84943276527 scopus 로고
    • Char align: A program for aligning parallel texts at the character level
    • Association for Computational Linguistics
    • Kenneth Ward Church. 1993. Char align: a program for aligning parallel texts at the character level. In Proceedings of the 31st annual meeting on Association for Computational Linguistics, pages 1-8. Association for Computational Linguistics.
    • (1993) Proceedings of the 31st Annual Meeting on Association for Computational Linguistics , pp. 1-8
    • Church, K.W.1
  • 11
    • 85122513787 scopus 로고    scopus 로고
    • Boosting named entity recognition with neural character embeddings
    • RJ Niterói, and Rio de Janeiro
    • Cicero dos Santos, Victor Guimaraes, RJ Niterói, and Rio de Janeiro. 2015. Boosting named entity recognition with neural character embeddings. In Proceedings of NEWS 2015 The Fifth Named Entities Workshop, page 25.
    • (2015) Proceedings of NEWS 2015 the Fifth Named Entities Workshop , pp. 25
    • Dos Santos, C.1    Guimaraes, V.2
  • 25
    • 79952276191 scopus 로고    scopus 로고
    • Part-of-speech tagging from 97% to 100%: Is it time for some linguistics?
    • Springer
    • Christopher D Manning. 2011. Part-of-speech tagging from 97% to 100%: is it time for some linguistics? In Computational Linguistics and Intelligent Text Processing, pages 171-189. Springer.
    • (2011) Computational Linguistics and Intelligent Text Processing , pp. 171-189
    • Manning, C.D.1
  • 26
    • 85119101524 scopus 로고    scopus 로고
    • Chinese and japanese word segmentation using word-level and character-level information
    • Association for Computational Linguistics
    • Tetsuji Nakagawa. 2004. Chinese and japanese word segmentation using word-level and character-level information. In Proceedings of the 20th international conference on Computational Linguistics, page 466. Association for Computational Linguistics.
    • (2004) Proceedings of the 20th International Conference on Computational Linguistics , pp. 466
    • Nakagawa, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.