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Volumn , Issue , 2012, Pages 992-1001

Acquiring temporal constraints between relations

Author keywords

graph based semi supervised learning; knowledge bases; label propagation; narrative ordering; temporal ordering; temporal scoping

Indexed keywords

KNOWLEDGE BASIS; LABEL PROPAGATION; NARRATIVE ORDERING; SCOPING; SEMI-SUPERVISED LEARNING; TEMPORAL ORDERING;

EID: 84871070083     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2396761.2396886     Document Type: Conference Paper
Times cited : (28)

References (24)
  • 1
    • 41849129685 scopus 로고    scopus 로고
    • On the value of temporal information in information retrieval
    • ACM
    • O. Alonso, M. Gertz, and R. Baeza-Yates. On the value of temporal information in information retrieval. In ACM SIGIR Forum, volume 41, pages 35-41. ACM, 2007.
    • (2007) ACM SIGIR Forum , vol.41 , pp. 35-41
    • Alonso, O.1    Gertz, M.2    Baeza-Yates, R.3
  • 6
    • 84859053902 scopus 로고    scopus 로고
    • Clustering clauses for high-level relation detection: An information-theoretic approach
    • S. Brody. Clustering clauses for high-level relation detection: An information-theoretic approach. In ACL, 2007.
    • (2007) ACL
    • Brody, S.1
  • 8
    • 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 Proceedings of EMNLP, 2008.
    • Proceedings of EMNLP, 2008
    • Chambers, N.1    Jurafsky, D.2
  • 9
    • 84859904524 scopus 로고    scopus 로고
    • Unsupervised learning of narrative event chains
    • N. Chambers and D. Jurafsky. Unsupervised learning of narrative event chains. ACL, 2008.
    • (2008) ACL
    • Chambers, N.1    Jurafsky, D.2
  • 10
    • 85033690108 scopus 로고    scopus 로고
    • Verbocean: Mining the web for fine-grained semantic verb relations
    • T. Chklovski and P. Pantel. Verbocean: Mining the web for fine-grained semantic verb relations. In Proceedings of EMNLP, volume 4, pages 33-40, 2004.
    • (2004) Proceedings of EMNLP , vol.4 , pp. 33-40
    • Chklovski, T.1    Pantel, P.2
  • 13
    • 56349095472 scopus 로고    scopus 로고
    • Non-parametric modeling of partially ranked data
    • G. Lebanon and Y. Mao. Non-parametric modeling of partially ranked data. Journal of Machine Learning Research, 9:2401-2429, 2008.
    • (2008) Journal of Machine Learning Research , vol.9 , pp. 2401-2429
    • Lebanon, G.1    Mao, Y.2
  • 14
    • 80053450574 scopus 로고    scopus 로고
    • Learning mallows models with pairwise preferences
    • T. Lu and C. Boutilier. Learning mallows models with pairwise preferences. ICML, 2011.
    • (2011) ICML
    • Lu, T.1    Boutilier, C.2
  • 19
    • 84878167713 scopus 로고    scopus 로고
    • New regularized algorithms for transductive learning
    • P. P. Talukdar and K. Crammer. New regularized algorithms for transductive learning. ECML, 2009.
    • (2009) ECML
    • Talukdar, P.P.1    Crammer, K.2
  • 20
  • 22


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.