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Volumn , Issue , 2006, Pages 61-68

Semantic Role Labeling via tree kernel joint inference

Author keywords

[No Author keywords available]

Indexed keywords

FORESTRY; SEMANTICS; SUPPORT VECTOR MACHINES;

EID: 84862274561     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1596276.1596289     Document Type: Article
Times cited : (40)

References (17)
  • 1
    • 84862288194 scopus 로고    scopus 로고
    • Introduction to the CoNLL-2005 shared task: Semantic role labeling
    • In
    • Xavier Carreras and Llúi{dotless}s Màrquez. 2005. Introduction to the CoNLL-2005 shared task: Semantic role labeling. In Proceedings of CoNLL05.
    • (2005) Proceedings of CoNLL05
    • Carreras, X.1    Màrquez, L.2
  • 2
    • 33646057547 scopus 로고    scopus 로고
    • New ranking algorithms for parsing and tagging: Kernels over discrete structures, and the voted perceptron
    • In
    • Michael Collins and Nigel Duffy. 2002. New ranking algorithms for parsing and tagging: Kernels over discrete structures, and the voted perceptron. In ACL02.
    • (2002) ACL02
    • Collins, M.1    Duffy, N.2
  • 3
    • 1942485292 scopus 로고    scopus 로고
    • Kernel methods for relational learning
    • In, Washington, DC, USA
    • Chad Cumby and Dan Roth. 2003. Kernel methods for relational learning. In Proceedings of ICML03, Washington, DC, USA.
    • (2003) Proceedings of ICML03
    • Cumby, C.1    Roth, D.2
  • 4
    • 84937375638 scopus 로고    scopus 로고
    • Automatic labeling of semantic roles
    • Daniel Gildea and Daniel Jurasfky. 2002. Automatic labeling of semantic roles. Computational Linguistic, 28(3):496-530.
    • (2002) Computational Linguistic , vol.28 , Issue.3 , pp. 496-530
    • Gildea, D.1    Jurasfky, D.2
  • 5
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale SVM learning practical
    • In B. Schölkopf, C. Burges, and A. Smola, editors
    • T. Joachims. 1999. Making large-scale SVM learning practical. In B. Schölkopf, C. Burges, and A. Smola, editors, Advances in Kernel Methods-Support Vector Learning.
    • (1999) Advances in Kernel Methods-Support Vector Learning
    • Joachims, T.1
  • 9
    • 85036466792 scopus 로고    scopus 로고
    • A study on convolution kernels for shallow semantic parsing
    • In, Barcelona, Spain
    • Alessandro Moschitti. 2004. A study on convolution kernels for shallow semantic parsing. In Proceedings of ACL'04, Barcelona, Spain.
    • (2004) Proceedings of ACL'04
    • Moschitti, A.1
  • 10
    • 84874714333 scopus 로고    scopus 로고
    • Making tree kernels practical for natural language learning
    • In, Trento, Italy
    • Alessandro Moschitti. 2006. Making tree kernels practical for natural language learning. In Proceedings of EACL'06, Trento, Italy.
    • (2006) Proceedings of EACL'06
    • Moschitti, A.1
  • 14
    • 84880754776 scopus 로고    scopus 로고
    • The necessity of syntactic parsing for semantic role labeling
    • In
    • V. Punyakanok, D. Roth, and W. Yih. 2005. The necessity of syntactic parsing for semantic role labeling. In Proceedings of IJCAI 2005.
    • (2005) Proceedings of IJCAI 2005
    • Punyakanok, V.1    Roth, D.2    Yih, W.3
  • 15
    • 79957672585 scopus 로고    scopus 로고
    • Using ltag based features in parse reranking
    • In, Sapporo, Japan
    • Libin Shen, Anoop Sarkar, and Aravind Joshi. 2003. Using ltag based features in parse reranking. In Conference on EMNLP03, Sapporo, Japan.
    • (2003) Conference on EMNLP03
    • Shen, L.1    Sarkar, A.2    Joshi, A.3
  • 16
    • 37249070952 scopus 로고    scopus 로고
    • The leaf projection path view of parse trees: Exploring string kernels for hpsg parse selection
    • In
    • Kristina Toutanova, Penka Markova, and Christopher D. Manning. 2004. The leaf projection path view of parse trees: Exploring string kernels for hpsg parse selection. In In Proceedings of EMNLP04.
    • (2004) In Proceedings of EMNLP04
    • Toutanova, K.1    Markova, P.2    Manning, C.D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.