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Volumn 31, Issue 3, 2011, Pages 93-102

Adapting open information extraction to domain-specific relations

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION RETRIEVAL; ONTOLOGY;

EID: 79953704003     PISSN: 07384602     EISSN: None     Source Type: Journal    
DOI: 10.1609/aimag.v31i3.2305     Document Type: Article
Times cited : (64)

References (22)
  • 8
    • 79953692071 scopus 로고    scopus 로고
    • Paper presented at the Sixteenth International Conference on Computational Linguistics (COLING-96), Copenhagen, Denmark, 5-9 August
    • Grishman, R., and Sundheim, B. 1996. Message Understanding Conference-6: A Brief History. Paper presented at the Sixteenth International Conference on Computational Linguistics (COLING-96), Copenhagen, Denmark, 5-9 August.
    • (1996) Message Understanding Conference-6: A Brief History.
    • Grishman, R.1    Sundheim, B.2
  • 16
    • 80053498006 scopus 로고    scopus 로고
    • Using corpus statistics on entities to improve semi-supervised relation extraction from the web
    • Stroudsburg, PA: Association for Computational Linguistics
    • Rosenfeld, B., and Feldman, R. 2007. Using Corpus Statistics on Entities to Improve Semi-Supervised Relation Extraction from the Web. In Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics, 600-607. Stroudsburg, PA: Association for Computational Linguistics.
    • (2007) Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics , pp. 600-607
    • Rosenfeld, B.1    Feldman, R.2
  • 18
    • 84858385171 scopus 로고    scopus 로고
    • Paper presented at the Human Language Technology Con- Articles 102 AI MAGAZINE ference of the North American Chapter of the Association for Computational Linguistics, Brooklyn, NY, 4-9 June
    • Shinyama, Y., and Sekine, S. 2006. Preemptive Information Extraction Using Unrestricted Relation Discovery. Paper presented at the Human Language Technology Con- Articles 102 AI MAGAZINE ference of the North American Chapter of the Association for Computational Linguistics, Brooklyn, NY, 4-9 June.
    • (2006) Preemptive Information Extraction Using Unrestricted Relation Discovery.
    • Shinyama, Y.1    Sekine, S.2
  • 20
    • 0032624184 scopus 로고    scopus 로고
    • Learning information extraction rules for semi-structured and free text
    • Soderland, S. 1999. Learning Information Extraction Rules for Semi-Structured and Free Text. Machine Learning 34(1-3): 233-272.
    • (1999) Machine Learning , vol.34 , Issue.1-3 , pp. 233-272
    • Soderland, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.