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Volumn , Issue , 2011, Pages 2225-2228

Joint inference for cross-document information extraction

Author keywords

global reasoning; information extraction; integer linear programming

Indexed keywords

GLOBAL REASONING; INFORMATION EXTRACTION; INFORMATION EXTRACTION SYSTEMS; INFORMATION NETWORKS; INFORMATION REDUNDANCIES; INTEGER LINEAR PROGRAMMING; LABELED DATA; LOCAL DECISIONS; PIPELINE ARCHITECTURE;

EID: 83055165923     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2063576.2063932     Document Type: Conference Paper
Times cited : (22)

References (13)
  • 1
    • 77956032571 scopus 로고    scopus 로고
    • Jointly combining implicit constraints improves temporal ordering
    • N. Chambers and D. Jurafsky. Jointly combining implicit constraints improves temporal ordering. In EMNLP, pages 698-706, 2008.
    • (2008) EMNLP , pp. 698-706
    • Chambers, N.1    Jurafsky, D.2
  • 2
    • 77956584723 scopus 로고    scopus 로고
    • Predicting unknown time arguments based on cross-event propagation
    • P. Gupta and H. Ji. Predicting unknown time arguments based on cross-event propagation. In Proc. ACL-IJCNLP2009, 2009.
    • (2009) Proc. ACL-IJCNLP2009
    • Gupta, P.1    Ji, H.2
  • 4
    • 84859903043 scopus 로고    scopus 로고
    • Refining event extraction through cross-document inference
    • H. Ji and R. Grishman. Refining event extraction through cross-document inference. In Proc. ACL, 2008.
    • Proc. ACL, 2008
    • Ji, H.1    Grishman, R.2
  • 6
    • 44449125635 scopus 로고    scopus 로고
    • Using semantic relations to refine coreference decisions
    • H. Ji, D. Westbrook, and R. Grishman. Using semantic relations to refine coreference decisions. In Proc. HLT/EMNLP2005, 2005.
    • (2005) Proc. HLT/EMNLP2005
    • Ji, H.1    Westbrook, D.2    Grishman, R.3
  • 7
    • 84859985050 scopus 로고    scopus 로고
    • Using document level cross-event inference to improve event extraction
    • S. Liao and R. Grishman. Using document level cross-event inference to improve event extraction. In Proc. ACL2010, 2010.
    • (2010) Proc. ACL2010
    • Liao, S.1    Grishman, R.2
  • 8
    • 33749569193 scopus 로고    scopus 로고
    • Information extraction, data mining and joint inference
    • A. Mccallum. Information extraction, data mining and joint inference. In Proc. KDD2006, 2006.
    • (2006) Proc. KDD2006
    • Mccallum, A.1
  • 9
    • 0035290114 scopus 로고    scopus 로고
    • Reading both high-coherence and low-coherence texts: Effects of text sequence and prior knowledge
    • D. S. McNamara. Reading both high-coherence and low-coherence texts: Effects of text sequence and prior knowledge. In Canadian Journal of Experimental Psychology, 2001.
    • (2001) Canadian Journal of Experimental Psychology
    • McNamara, D.S.1
  • 10
    • 83055180631 scopus 로고    scopus 로고
    • Joint inference for knowledge extraction from biomedical literature
    • H. Poon and L. Vanderwende. Joint inference for knowledge extraction from biomedical literature. In HLT-NAACL, pages 813-821, 2010.
    • (2010) HLT-NAACL , pp. 813-821
    • Poon, H.1    Vanderwende, L.2
  • 11
    • 33745826610 scopus 로고    scopus 로고
    • A linear programming formulation for global inference in natural language tasks
    • D. Roth and W. tau Yih. A linear programming formulation for global inference in natural language tasks. In Proc. CoNLL, pages 1-8, 2004.
    • (2004) Proc. CoNLL , pp. 1-8
    • Roth, D.1    Tau Yih, W.2
  • 12
    • 83055186540 scopus 로고    scopus 로고
    • Experiments with reasoning for temporal relations between events
    • M. Tatu and M. Srikanth. Experiments with reasoning for temporal relations between events. In Proc. COLING2008, 2008.
    • (2008) Proc. COLING2008
    • Tatu, M.1    Srikanth, M.2
  • 13
    • 83055180630 scopus 로고    scopus 로고
    • Two Multivariate Generalizations of Pointwise Mutual Information
    • Van de Cruys Tim. Two Multivariate Generalizations of Pointwise Mutual Information. In Proc. ACL2011, 2011.
    • (2011) Proc. ACL2011
    • Van De Cruys, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.