Convolution kernels on constituent, dependency and sequential structures for relation extraction

Truc Vien T Nguyen, Alessandro Moschitti, Giuseppe Riccardi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

60 Citations (Scopus)

Abstract

This paper explores the use of innovative kernels based on syntactic and semantic structures for a target relation extraction task. Syntax is derived from constituent and dependency parse trees whereas semantics concerns to entity types and lexical sequences. We investigate the effectiveness of such representations in the automated relation extraction from texts. We process the above data by means of Support Vector Machines along with the syntactic tree, the partial tree and the word sequence kernels. Our study on the ACE 2004 corpus illustrates that the combination of the above kernels achieves high effectiveness and significantly improves the current state-of-the-art.

Original languageEnglish
Title of host publicationEMNLP 2009 - Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: A Meeting of SIGDAT, a Special Interest Group of ACL, Held in Conjunction with ACL-IJCNLP 2009
Pages1378-1387
Number of pages10
Publication statusPublished - 1 Dec 2009
Externally publishedYes
Event2009 Conference on Empirical Methods in Natural Language Processing, EMNLP 2009, Held in Conjunction with ACL-IJCNLP 2009 - Singapore, Singapore
Duration: 6 Aug 20097 Aug 2009

Other

Other2009 Conference on Empirical Methods in Natural Language Processing, EMNLP 2009, Held in Conjunction with ACL-IJCNLP 2009
CountrySingapore
CitySingapore
Period6/8/097/8/09

Fingerprint

Syntactics
Convolution
Semantics
Support vector machines

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Information Systems

Cite this

Nguyen, T. V. T., Moschitti, A., & Riccardi, G. (2009). Convolution kernels on constituent, dependency and sequential structures for relation extraction. In EMNLP 2009 - Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: A Meeting of SIGDAT, a Special Interest Group of ACL, Held in Conjunction with ACL-IJCNLP 2009 (pp. 1378-1387)

Convolution kernels on constituent, dependency and sequential structures for relation extraction. / Nguyen, Truc Vien T; Moschitti, Alessandro; Riccardi, Giuseppe.

EMNLP 2009 - Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: A Meeting of SIGDAT, a Special Interest Group of ACL, Held in Conjunction with ACL-IJCNLP 2009. 2009. p. 1378-1387.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nguyen, TVT, Moschitti, A & Riccardi, G 2009, Convolution kernels on constituent, dependency and sequential structures for relation extraction. in EMNLP 2009 - Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: A Meeting of SIGDAT, a Special Interest Group of ACL, Held in Conjunction with ACL-IJCNLP 2009. pp. 1378-1387, 2009 Conference on Empirical Methods in Natural Language Processing, EMNLP 2009, Held in Conjunction with ACL-IJCNLP 2009, Singapore, Singapore, 6/8/09.
Nguyen TVT, Moschitti A, Riccardi G. Convolution kernels on constituent, dependency and sequential structures for relation extraction. In EMNLP 2009 - Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: A Meeting of SIGDAT, a Special Interest Group of ACL, Held in Conjunction with ACL-IJCNLP 2009. 2009. p. 1378-1387
Nguyen, Truc Vien T ; Moschitti, Alessandro ; Riccardi, Giuseppe. / Convolution kernels on constituent, dependency and sequential structures for relation extraction. EMNLP 2009 - Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: A Meeting of SIGDAT, a Special Interest Group of ACL, Held in Conjunction with ACL-IJCNLP 2009. 2009. pp. 1378-1387
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