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Volumn 1, Issue , 2011, Pages 1566-1576

Effective measures of domain similarity for parsing

Author keywords

[No Author keywords available]

Indexed keywords

DOMAIN ADAPTATION; EFFECTIVE MEASURES; RANDOM DATA; TARGET DOMAIN; TEST SETS; TOPIC MODEL; TRAINING DATA;

EID: 84858301472     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (100)

References (31)
  • 6
    • 33645972251 scopus 로고    scopus 로고
    • Adapting a probabilistic disambiguation model of an hpsg parser to a new domain
    • Lecture Notes in Computer Science. Springer Berlin / Heidelberg
    • Tadayoshi Hara, Yusuke Miyao, and Jun'ichi Tsujii. 2005. Adapting a Probabilistic Disambiguation Model of an HPSG Parser to a New Domain. In Robert Dale, Kam-Fai Wong, Jian Su, and Oi Yee Kwong, editors, Natural Language Processing IJCNLP 2005, volume 3651 of Lecture Notes in Computer Science, pages 199-210. Springer Berlin / Heidelberg.
    • (2005) Robert Dale, Kam-Fai Wong, Jian Su, and Oi Yee Kwong, Editors, Natural Language Processing IJCNLP 2005 , vol.3651 , pp. 199-210
    • Hara, T.1    Miyao, Y.2    Tsujii, J.3
  • 7
    • 25844460429 scopus 로고    scopus 로고
    • Sample selection for statistical parsing
    • DOI 10.1162/0891201041850894
    • Rebecca Hwa. 2004. Sample Selection for Statistical Parsing. Compututational Linguistics, 30:253-276, September. (Pubitemid 41461900)
    • (2004) Computational Linguistics , vol.30 , Issue.3 , pp. 253-276
    • Hwa, R.1
  • 8
    • 84860538689 scopus 로고    scopus 로고
    • Instance weighting for domain adaptation in NLP
    • Prague, Czech Republic, June. Association for Computational Linguistics
    • Jing Jiang and ChengXiang Zhai. 2007. Instance Weighting for Domain Adaptation in NLP. In Proceedings of the 45th Meeting of the Association for Computational Linguistics, pages 264-271, Prague, Czech Republic, June. Association for Computational Linguistics.
    • (2007) Proceedings of the 45th Meeting of the Association for Computational Linguistics , pp. 264-271
    • Jiang, J.1    Zhai, C.X.2
  • 9
    • 85008242043 scopus 로고    scopus 로고
    • Extended constituent-to-dependency conversion for english
    • Tartu, Estonia
    • Richard Johansson and Pierre Nugues. 2007. Extended Constituent-to- dependency Conversion for English. In Proceedings of NODALIDA, Tartu, Estonia.
    • (2007) Proceedings of NODALIDA
    • Johansson, R.1    Nugues, P.2
  • 10
    • 33645994610 scopus 로고    scopus 로고
    • On the effectiveness of the skew divergence for statistical language analysis
    • Key West, Florida
    • Lillian Lee. 2001. On the Effectiveness of the Skew Divergence for Statistical Language Analysis. In In Artificial Intelligence and Statistics 2001, pages 65-72, Key West, Florida.
    • (2001) Artificial Intelligence and Statistics 2001 , pp. 65-72
    • Lee, L.1
  • 11
    • 0025952277 scopus 로고
    • Divergence measures based on the Shannon entropy
    • January
    • J. Lin. 1991. Divergence measures based on the Shannon entropy. Information Theory, IEEE Transactions on, 37(1):145-151, January.
    • (1991) Information Theory, IEEE Transactions on , vol.37 , Issue.1 , pp. 145-151
    • Lin, J.1
  • 17
    • 84859981825 scopus 로고    scopus 로고
    • Intelligent selection of language model training data
    • Uppsala, Sweden, July. Association for Computational Linguistics
    • Robert C. Moore and William Lewis. 2010. Intelligent Selection of Language Model Training Data. In Proceedings of the ACL 2010 Conference Short Papers, pages 220-224, Uppsala, Sweden, July. Association for Computational Linguistics.
    • (2010) Proceedings of the ACL 2010 Conference Short Papers , pp. 220-224
    • Moore, R.C.1    Lewis, W.2
  • 21
    • 84859060412 scopus 로고    scopus 로고
    • Grammar-driven versus data-driven: Which parsing system is more affected by domain shifts?
    • Uppsala, Sweden, July. Association for Computational Linguistics
    • Barbara Plank and Gertjan van Noord. 2010. Grammar-Driven versus Data-Driven: Which Parsing System Is More Affected by Domain Shifts? In Proceedings of the 2010 Workshop on NLP and Linguistics: Finding the Common Ground, pages 25-33, Uppsala, Sweden, July. Association for Computational Linguistics.
    • (2010) Proceedings of the 2010 Workshop on NLP and Linguistics: Finding the Common Ground , pp. 25-33
    • Plank, B.1    Van Noord, G.2
  • 29
    • 84978071523 scopus 로고    scopus 로고
    • Genre distinctions for discourse in the penn treebank
    • Suntec, Singapore, August. Association for Computational Linguistics
    • Bonnie Webber. 2009. Genre distinctions for Discourse in the Penn TreeBank. In Proceedings of the 47th Meeting of the Association for Computational Linguistics, pages 674-682, Suntec, Singapore, August. Association for Computational Linguistics.
    • (2009) Proceedings of the 47th Meeting of the Association for Computational Linguistics , pp. 674-682
    • Webber, B.1
  • 30
    • 84859047303 scopus 로고    scopus 로고
    • Fine- grained genre classification using structural learning algorithms
    • Uppsala, Sweden, July. Association for Computational Linguistics
    • Zhili Wu, Katja Markert, and Serge Sharoff. 2010. Fine- Grained Genre Classification Using Structural Learning Algorithms. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pages 749-759, Uppsala, Sweden, July. Association for Computational Linguistics.
    • (2010) Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics , pp. 749-759
    • Wu, Z.1    Markert, K.2    Sharoff, S.3
  • 31
    • 0347606818 scopus 로고    scopus 로고
    • More accurate tests for the statistical significance of result differences
    • Morristown, NJ, USA. Association for Computational Linguistics
    • Alexander Yeh. 2000. More accurate tests for the statistical significance of result differences. In Proceedings of the 18th conference on Computational linguistics, pages 947-953, Morristown, NJ, USA. Association for Computational Linguistics.
    • (2000) Proceedings of the 18th Conference on Computational Linguistics , pp. 947-953
    • Yeh, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.