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Volumn , Issue , 2006, Pages 6-13

Porting statistical parsers with data-defined kernels

Author keywords

[No Author keywords available]

Indexed keywords

LARGE MARGIN CLASSIFIERS; NEURAL-NETWORKS; PERFORMANCE; PROBABILISTIC MODELS; STATISTICAL PARSER; SVM CLASSIFIERS; TARGET DOMAIN;

EID: 85117698997     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (14)
  • 1
    • 33646057547 scopus 로고    scopus 로고
    • New ranking algorithms for parsing and tagging: Kernels over discrete structures and the voted perceptron
    • Philadelphia, PA
    • Michael Collins and Nigel Duffy. 2002. New ranking algorithms for parsing and tagging: Kernels over discrete structures and the voted perceptron. In Proc. ACL 2002 , pages 263–270, Philadelphia, PA.
    • (2002) Proc. ACL 2002 , pp. 263-270
    • Collins, Michael1    Duffy, Nigel2
  • 2
    • 85118152899 scopus 로고    scopus 로고
    • Three generative, lexicalized models for statistical parsing
    • Somerset, New Jersey
    • Michael Collins. 1997. Three generative, lexicalized models for statistical parsing. In Proc. ACL/EACL 1997 , pages 16–23, Somerset, New Jersey.
    • (1997) Proc. ACL/EACL 1997 , pp. 16-23
    • Collins, Michael1
  • 4
    • 84859944900 scopus 로고    scopus 로고
    • Corpus variation and parser performance
    • Pittsburgh, PA
    • Daniel Gildea. 2001. Corpus variation and parser performance. In Proc. EMNLP 2001 , Pittsburgh, PA.
    • (2001) Proc. EMNLP 2001
    • Gildea, Daniel1
  • 5
    • 84859898745 scopus 로고    scopus 로고
    • Data-defined kernels for parse reranking derived from probabilistic models
    • Ann Arbor, MI
    • James Henderson and Ivan Titov. 2005. Data-defined kernels for parse reranking derived from probabilistic models. In Proc. ACL 2005 , Ann Arbor, MI.
    • (2005) Proc. ACL 2005
    • Henderson, James1    Titov, Ivan2
  • 6
    • 85118708235 scopus 로고    scopus 로고
    • Inducing history representations for broad coverage statistical parsing
    • Edmonton, Canada
    • James Henderson. 2003. Inducing history representations for broad coverage statistical parsing. In Proc. NAACL/HLT 2003 , pages 103–110, Edmonton, Canada.
    • (2003) Proc. NAACL/HLT 2003 , pp. 103-110
    • Henderson, James1
  • 7
    • 78049407284 scopus 로고    scopus 로고
    • Hidden-variable models for discriminative reranking
    • Vancouver, B.C., Canada
    • Terry Koo and Michael Collins. 2005. Hidden-variable models for discriminative reranking. In Proc. EMNLP 2005 , Vancouver, B.C., Canada.
    • (2005) Proc. EMNLP 2005
    • Koo, Terry1    Collins, Michael2
  • 10
    • 0032660854 scopus 로고    scopus 로고
    • Learning to parse natural language with maximum entropy models
    • Adwait Ratnaparkhi. 1999. Learning to parse natural language with maximum entropy models. Machine Learning, 34:151–175.
    • (1999) Machine Learning , vol.34 , pp. 151-175
    • Ratnaparkhi, Adwait1
  • 11
    • 84862293242 scopus 로고    scopus 로고
    • Supervised and unsuperised PCFG adaptation to novel domains
    • Edmionton, Canada
    • Brian Roark and Michiel Bacchiani. 2003. Supervised and unsuperised PCFG adaptation to novel domains. In Proc. HLT/ACL 2003 , Edmionton, Canada.
    • (2003) Proc. HLT/ACL 2003
    • Roark, Brian1    Bacchiani, Michiel2
  • 14
    • 0347606818 scopus 로고    scopus 로고
    • More accurate tests for the statistical significance of the result differences
    • Saarbruken, Germany
    • Alexander Yeh. 2000. More accurate tests for the statistical significance of the result differences. In Proc. 17th Int. Conf. on Computational Linguistics, pages 947–953, Saarbruken, Germany.
    • (2000) Proc. 17th Int. Conf. on Computational Linguistics , pp. 947-953
    • Yeh, Alexander1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.