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Volumn 7457 LNAI, Issue , 2012, Pages 160-174

Improving open information extraction for informal web documents with ripple-down rules

Author keywords

Open information extraction; Ripple Down rules

Indexed keywords

INFORMATION RETRIEVAL; INTELLIGENT SYSTEMS; KNOWLEDGE ACQUISITION; KNOWLEDGE MANAGEMENT; MERGERS AND ACQUISITIONS; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84991859168     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-32541-0_14     Document Type: Conference Paper
Times cited : (6)

References (17)
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    • 84858385171 scopus 로고    scopus 로고
    • Preemptive information extraction using unrestricted relation discovery
    • Shinyama, Y., Sekine, S.: Preemptive information extraction using unrestricted relation discovery. In: Proceedings of the HLT/NAACL (2006)
    • (2006) Proceedings of the HLT/NAACL
    • Shinyama, Y.1    Sekine, S.2
  • 7
    • 84858385171 scopus 로고    scopus 로고
    • Preemptive information extraction using unrestricted relation discovery
    • Shinyama, Y., Sekine, S.: Preemptive information extraction using unrestricted relation discovery. In: Proceedings of the HLT/NAACL (2006)
    • (2006) Proceedings of the HLT/NAACL
    • Shinyama, Y.1    Sekine, S.2
  • 14
    • 84860538788 scopus 로고    scopus 로고
    • Learning to Extract Relations from the Web using Minimal Supervision
    • Bunescu, R.C., Mooney, R.J.: Learning to Extract Relations from the Web using Minimal Supervision. In: Proceedings of the 45th ACL (2007)
    • (2007) Proceedings of the 45Th ACL
    • Bunescu, R.C.1    Mooney, R.J.2
  • 17
    • 78049265370 scopus 로고    scopus 로고
    • RDRCE: Combining Machine Learning and Knowledge Acquisition
    • Kang, B.-H., Richards, D. (eds.), Springer, Heidelberg
    • Xu, H., Hoffmann, A.: RDRCE: Combining Machine Learning and Knowledge Acquisition. In: Kang, B.-H., Richards, D. (eds.) PKAW 2010. LNCS, vol. 6232, pp. 165–179. Springer, Heidelberg (2010)
    • (2010) PKAW 2010. LNCS , vol.6232 , pp. 165-179
    • Xu, H.1    Hoffmann, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.