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Volumn , Issue , 2016, Pages 2993-2999

A probabilistic soft logic based approach to exploiting latent and global information in event classification

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER CIRCUITS; ENCODING (SYMBOLS); PROBABILISTIC LOGICS;

EID: 85007210884     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (78)

References (20)
  • 3
    • 84906929703 scopus 로고    scopus 로고
    • Probabilistic soft logic for semantic textual similarity
    • Beltagy, I.; Erk, K.; and Mooney, R. 2014. Probabilistic soft logic for semantic textual similarity. In Proceedings of ACL, 1210-1219.
    • (2014) Proceedings of ACL , pp. 1210-1219
    • Beltagy, I.1    Erk, K.2    Mooney, R.3
  • 5
    • 84876800190 scopus 로고    scopus 로고
    • Joint modeling for Chinese event extraction with rich linguistic features
    • Chen, C., and Ng, V. 2012. Joint modeling for chinese event extraction with rich linguistic features. In COLING, 529- 544.
    • (2012) COLING , pp. 529-544
    • Chen, C.1    Ng, V.2
  • 7
    • 77956584723 scopus 로고    scopus 로고
    • Predicting unknown time arguments based on cross-event propagation
    • Gupta, P., and Ji, H. 2009. Predicting unknown time arguments based on cross-event propagation. In Proceedings of ACL-IJCNLP, 369-372.
    • (2009) Proceedings of ACL-IJCNLP , pp. 369-372
    • Gupta, P.1    Ji, H.2
  • 8
    • 84859055597 scopus 로고    scopus 로고
    • Using cross-entity inference to improve event extraction
    • Hong, Y.; Zhang, J.; Ma, B.; Yao, J.; Zhou, G.; and Zhu, Q. 2011. Using cross-entity inference to improve event extraction. In Proceedings of ACL, 1127-1136.
    • (2011) Proceedings of ACL , pp. 1127-1136
    • Hong, Y.1    Zhang, J.2    Ma, B.3    Yao, J.4    Zhou, G.5    Zhu, Q.6
  • 9
    • 84859903043 scopus 로고    scopus 로고
    • Refining event extraction through cross-document inference
    • Ji, H., and Grishman, R. 2008. Refining event extraction through cross-document inference. In Proceedings of ACL, 254-262.
    • (2008) Proceedings of ACL , pp. 254-262
    • Ji, H.1    Grishman, R.2
  • 11
    • 84894653924 scopus 로고    scopus 로고
    • Joint event extraction via structured prediction with global features
    • Li, Q.; Ji, H.; and Huang, L. 2013. Joint event extraction via structured prediction with global features. In Proceedings of ACL, 73-82.
    • (2013) Proceedings of ACL , pp. 73-82
    • Li, Q.1    Ji, H.2    Huang, L.3
  • 12
    • 84859985050 scopus 로고    scopus 로고
    • Using document level cross-event inference to improve event extraction
    • Liao, S., and Grishman, R. 2010. Using document level cross-event inference to improve event extraction. In Proceedings of ACL, 789-797.
    • (2010) Proceedings of ACL , pp. 789-797
    • Liao, S.1    Grishman, R.2
  • 19
    • 84961302979 scopus 로고    scopus 로고
    • Relieving the computational bottleneck: Joint inference for event extraction with high-dimensional features
    • Venugopal, D.; Chen, C.; Gogate, V.; and Ng, V. 2014. Relieving the computational bottleneck: Joint inference for event extraction with high-dimensional features. In Proceedings of EMNLP, 831-843.
    • (2014) Proceedings of EMNLP , pp. 831-843
    • Venugopal, D.1    Chen, C.2    Gogate, V.3    Ng, V.4
  • 20
    • 85141919230 scopus 로고
    • Unsupervised word sense disambiguation rivaling supervised methods
    • Yarowsky, D. 1995. Unsupervised word sense disambiguation rivaling supervised methods. In Proceedings of ACL, 189-196.
    • (1995) Proceedings of ACL , pp. 189-196
    • Yarowsky, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.