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Volumn 2, Issue , 2009, Pages 851-858

Discovery of dependency tree patterns for relation extraction

Author keywords

[No Author keywords available]

Indexed keywords

DEPENDENCY TREES; HIGH PRECISION; NAMED ENTITIES; RECALL RATE; RELATION EXTRACTION;

EID: 84863875513     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article
Times cited : (6)

References (17)
  • 2
    • 84956968949 scopus 로고    scopus 로고
    • Extracting patterns and relations from the world wide web
    • Springer Berlin / Heidelberg
    • Brin, S. 1999. Extracting patterns and relations from the world wide web. In The World Wide Web and Databases, Lecture Notes in Computer Science, pages 172-183. Springer Berlin / Heidelberg.
    • (1999) The World Wide Web and Databases, Lecture Notes In Computer Science , pp. 172-183
    • Brin, S.1
  • 3
    • 43749110484 scopus 로고    scopus 로고
    • Extraction of semantic biomedical relations from text using conditional random fields
    • Bundschus, M., M. Dejori, M. Stetter, V. Tresp, and H.-P. Kriegel. 2008. Extraction of semantic biomedical relations from text using conditional random fields. BMC Bioinformatics, 9(207).
    • (2008) BMC Bioinformatics , vol.9 , Issue.207
    • Bundschus, M.1    Dejori, M.2    Stetter, M.3    Tresp, V.4    Kriegel, H.-P.5
  • 5
    • 84864058992 scopus 로고    scopus 로고
    • Subsequence kernels for relation extraction
    • In Y. Weiss, B. Schölkopf, and J. Platt, editors, MIT Press, Cambridge, MA
    • Bunescu, R. and R. Mooney. 2006. Subsequence kernels for relation extraction. In Y. Weiss, B. Schölkopf, and J. Platt, editors, Advances in Neural Information Processing Systems 18, pages 171-178. MIT Press, Cambridge, MA.
    • (2006) Advances In Neural Information Processing Systems , vol.18 , pp. 171-178
    • Bunescu, R.1    Mooney, R.2
  • 7
    • 14644411753 scopus 로고    scopus 로고
    • Mining closed and maximal frequent subtrees from databases of labeled rooted trees
    • Chi, Y., Y. Xia, Y. Yang, and R. R. Muntz. 2005. Mining closed and maximal frequent subtrees from databases of labeled rooted trees. IEEE Transactions on Knowledge and Data Engineering, 17(2):190-202.
    • (2005) IEEE Transactions On Knowledge and Data Engineering , vol.17 , Issue.2 , pp. 190-202
    • Chi, Y.1    Xia, Y.2    Yang, Y.3    Muntz, R.R.4
  • 8
    • 34249753618 scopus 로고
    • Support vector networks
    • Cortes, C. and V. Vapnik. 1995. Support vector networks. Machine Learning, 20(3):273-297.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 12
    • 84863874902 scopus 로고    scopus 로고
    • Combining Lexical, Syntactic and Semantic Features With Maximum Entropy Models For Extracting Relations
    • Kambhatla, N. 2004. Combining lexical, syntactic and semantic features with maximum entropy models for extracting relations. In 21th International Conference on Computational Linguistics.
    • (2004) 21th International Conference on Computational Linguistics
    • Kambhatla, N.1
  • 15
    • 84992162860 scopus 로고    scopus 로고
    • Discovery of inference rules for question answering
    • Cambridge University Press
    • Lin, D. and P. Pantel. 2001. Discovery of inference rules for question answering. In Natural Language Engineering, volume 7, pages 343-360. Cambridge University Press.
    • (2001) Natural Language Engineering , vol.7 , pp. 343-360
    • Lin, D.1    Pantel, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.