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Volumn , Issue , 2011, Pages 113-119

An analysis of open information extraction based on semantic role labeling

Author keywords

information extraction; open information extraction; semantic role labeling

Indexed keywords

F-MEASURE; INFORMATION EXTRACTION; OPTIMAL EXTRACTORS; RUNNING TIME; SEMANTIC ROLE LABELING; SYNTACTIC ANALYSIS; SYNTACTIC FEATURES;

EID: 79960258210     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1999676.1999697     Document Type: Conference Paper
Times cited : (146)

References (21)
  • 15
    • 45749086553 scopus 로고    scopus 로고
    • The importance of syntactic parsing and inference in semantic role labeling
    • V. Punyakanok, D. Roth, and W. Yih. The importance of syntactic parsing and inference in semantic role labeling. Computational Linguistics, 34(2), 2008.
    • (2008) Computational Linguistics , vol.34 , Issue.2
    • Punyakanok, V.1    Roth, D.2    Yih, W.3
  • 17
    • 0032624184 scopus 로고    scopus 로고
    • Learning information extraction rules for semi-structured and free text
    • S. Soderland. Learning information extraction rules for semi-structured and free text. Machine Learning, 34(1-3):233-272, 1999.
    • (1999) Machine Learning , vol.34 , Issue.1-3 , pp. 233-272
    • Soderland, S.1
  • 20
    • 63749101574 scopus 로고    scopus 로고
    • Using wikipedia to bootstrap open information extraction
    • D. S. Weld, R. Hoffmann, and F. Wu. Using wikipedia to bootstrap open information extraction. SIGMOD Rec., 37(4):62-68, 2008.
    • (2008) SIGMOD Rec. , vol.37 , Issue.4 , pp. 62-68
    • Weld, D.S.1    Hoffmann, R.2    Wu, F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.