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Volumn , Issue , 2013, Pages 56-64

Domain adaptation for parsing

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS;

EID: 84890474455     PISSN: 13138502     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (26)
  • 14
    • 34249852033 scopus 로고
    • Building a large annotated corpus of English: The Penn Treebank
    • Mitchell Marcus, Mary Ann Marcinkiewicz, and Beatrice Santorini. 1993. Building a large annotated corpus of English: The Penn Treebank. Computational Linguistics, 19(2):313-330.
    • (1993) Computational Linguistics , vol.19 , Issue.2 , pp. 313-330
    • Marcus, M.1    Marcinkiewicz, M.A.2    Santorini, B.3
  • 21
    • 80053380720 scopus 로고    scopus 로고
    • Dependency parsing and domain adaptation with LR models and parser ensembles
    • Prague, Czech Republic
    • Kenji Sagae and Jun'ichi Tsujii. 2007. Dependency parsing and domain adaptation with LR models and parser ensembles. In Proceedings of the CoNLL Shared Task Session of EMNLP-CoNLL 2007, pages 1044-1050, Prague, Czech Republic.
    • (2007) Proceedings of the CoNLL Shared Task Session of EMNLP-CoNLL 2007 , pp. 1044-1050
    • Sagae, K.1    Tsujii, J.2
  • 22
    • 84890478434 scopus 로고    scopus 로고
    • Self-training without reranking for parser domain adaptation and its impact on semantic role labeling
    • Uppsala, Sweden
    • Kenji Sagae. 2010. Self-training without reranking for parser domain adaptation and its impact on semantic role labeling. In Proceedings of the 2010 Workshop on Domain Adaptation for Natural Language Processing, pages 37-44, Uppsala, Sweden.
    • (2010) Proceedings of the 2010 Workshop on Domain Adaptation for Natural Language Processing , pp. 37-44
    • Sagae, K.1
  • 26
    • 0038765969 scopus 로고    scopus 로고
    • Improving accuracy in word class tagging through the combination of machine learning systems
    • Hans van Halteren, Walter Daelemans, and Jakub Zavrel. 2001. Improving accuracy in word class tagging through the combination of machine learning systems. Computational Linguistics, 27(2):199-229.
    • (2001) Computational Linguistics , vol.27 , Issue.2 , pp. 199-229
    • Van Halteren, H.1    Daelemans, W.2    Zavrel, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.