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Volumn 1, Issue , 2016, Pages 258-268

Liberal event extraction and event schema induction

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; INFORMATION ANALYSIS; SEMANTICS;

EID: 85011983779     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/p16-1025     Document Type: Conference Paper
Times cited : (147)

References (59)
  • 1
    • 77955382413 scopus 로고    scopus 로고
    • The framenet data and software
    • C. F. Baker and H. Sato. 2003. The framenet data and software. In Proc. ACL2003.
    • (2003) Proc. ACL2003
    • Baker, C.F.1    Sato, H.2
  • 4
    • 70449650184 scopus 로고    scopus 로고
    • The tradeoffs between open and traditional relation extraction
    • M. Banko, O. Etzioni, and T. Center. 2008. The tradeoffs between open and traditional relation extraction. In Proc. ACL-HLT2008.
    • (2008) Proc. ACL-HLT2008
    • Banko, M.1    Etzioni, O.2    Center, T.3
  • 5
    • 84893396523 scopus 로고    scopus 로고
    • Word sense induction: Tripletbased clustering and automatic evaluation
    • S. Bordag. 2006. Word sense induction: Tripletbased clustering and automatic evaluation. In Proc. EACL2006.
    • (2006) Proc. EACL2006
    • Bordag, S.1
  • 6
    • 84943797422 scopus 로고    scopus 로고
    • Recursive neural networks for learning logical semantics
    • abs/1406.1827
    • S. Bowman, C. Potts, and C. Manning. 2014. Recursive neural networks for learning logical semantics. CoRR, abs/1406.1827.
    • (2014) CoRR
    • Bowman, S.1    Potts, C.2    Manning, C.3
  • 8
    • 84859035460 scopus 로고    scopus 로고
    • Template-based information extraction without the templates
    • N. Chambers and D. Jurafsky. 2011. Template-based information extraction without the templates. In Proc. ACL-HLT2011.
    • (2011) Proc. ACL-HLT2011
    • Chambers, N.1    Jurafsky, D.2
  • 9
    • 84926286964 scopus 로고    scopus 로고
    • Event schema induction with a probabilistic entity-driven model
    • N. Chambers. 2013. Event schema induction with a probabilistic entity-driven model. In EMNLP, volume 13, pages 1797-1807.
    • (2013) EMNLP , vol.13 , pp. 1797-1807
    • Chambers, N.1
  • 10
    • 84876800190 scopus 로고    scopus 로고
    • Joint modeling for Chinese event extraction with rich linguistic features
    • C. Chen and V. Ng. 2012. Joint modeling for chinese event extraction with rich linguistic features. In In COLING. Citeseer.
    • (2012) COLING. Citeseer
    • Chen, C.1    Ng, V.2
  • 11
    • 84943802037 scopus 로고    scopus 로고
    • Event extraction via dynamic multi-pooling convolutional neural networks
    • Y. Chen, L. Xu, K. Liu, D. Zeng, and J. Zhao. 2015. Event extraction via dynamic multi-pooling convolutional neural networks. In Proc. ACL2015.
    • (2015) Proc. ACL2015
    • Chen, Y.1    Xu, L.2    Liu, K.3    Zeng, D.4    Zhao, J.5
  • 15
    • 85007268680 scopus 로고    scopus 로고
    • Extracting biomolecular interactions using semantic parsing of biomedical text
    • S. Garg, A. Galstyan, U. Hermjakob, and D. Marcu. 2016. Extracting biomolecular interactions using semantic parsing of biomedical text. In Proc. AAAI.
    • (2016) Proc. AAAI
    • Garg, S.1    Galstyan, A.2    Hermjakob, U.3    Marcu, D.4
  • 16
    • 0002686947 scopus 로고    scopus 로고
    • Message understanding conference-6: A brief history
    • R. Grishman and B. Sundheim. 1996. Message understanding conference-6: A brief history. In Proc. COLING1996.
    • (1996) Proc. COLING1996
    • Grishman, R.1    Sundheim, B.2
  • 17
    • 0000679216 scopus 로고
    • Distributional structure
    • Z. Harris. 1954. Distributional structure. Word, 10(23): 146-162.
    • (1954) Word , vol.10 , Issue.23 , pp. 146-162
    • Harris, Z.1
  • 18
    • 84906929292 scopus 로고    scopus 로고
    • The role of syntax in vector space models of compositional semantics
    • K. Hermann and P. Blunsom. 2013. The role of syntax in vector space models of compositional semantics. In Proc. ACL2013.
    • (2013) Proc. ACL2013
    • Hermann, K.1    Blunsom, P.2
  • 20
    • 84859055597 scopus 로고    scopus 로고
    • Using cross-entity inference to improve event extraction
    • Association for Computational Linguistics
    • Y. Hong, J. Zhang, B. Ma, J. Yao, G. Zhou, and Q. Zhu. 2011. Using cross-entity inference to improve event extraction. In Proc. ACL, pages 1127-1136. Association for Computational Linguistics.
    • (2011) Proc. ACL , pp. 1127-1136
    • Hong, Y.1    Zhang, J.2    Ma, B.3    Yao, J.4    Zhou, G.5    Zhu, Q.6
  • 22
    • 84859903043 scopus 로고    scopus 로고
    • Refining event extraction through cross-document inference
    • H. Ji and R. Grishman. 2008. Refining event extraction through cross-document inference. In ACL.
    • (2008) ACL
    • Ji, H.1    Grishman, R.2
  • 23
    • 84859087795 scopus 로고    scopus 로고
    • Knowledge base population: Successful approaches and challenges
    • H. Ji and R. Grishman. 2011. Knowledge base population: Successful approaches and challenges. In Proc. ACL2011.
    • (2011) Proc. ACL2011
    • Ji, H.1    Grishman, R.2
  • 24
    • 84894683168 scopus 로고    scopus 로고
    • Semantic frame-based document representation for comparable corpora
    • H. Kim, X. Ren, Y. Sun, C. Wang, and J. Han. 2013. Semantic frame-based document representation for comparable corpora. In ICDM.
    • (2013) ICDM
    • Kim, H.1    Ren, X.2    Sun, Y.3    Wang, C.4    Han, J.5
  • 26
    • 84894653924 scopus 로고    scopus 로고
    • Joint event extraction via structured prediction with global features
    • Q. Li, H. Ji, and L. Huang. 2013. Joint event extraction via structured prediction with global features. In Proc. ACL, pages 73-82.
    • (2013) Proc. ACL , pp. 73-82
    • Li, Q.1    Ji, H.2    Huang, L.3
  • 27
    • 84859985050 scopus 로고    scopus 로고
    • Using document level cross-event inference to improve event extraction
    • S. Liao and R. Grishman. 2010. Using document level cross-event inference to improve event extraction. In Proc. ACL.
    • (2010) Proc. ACL
    • Liao, S.1    Grishman, R.2
  • 28
    • 85011968996 scopus 로고    scopus 로고
    • Dependency-driven feature-based learning for extracting protein-protein interactions from biomedical text
    • B. Liu, L. Qian, H. Wang, and G. Zhou. 2010. Dependency-driven feature-based learning for extracting protein-protein interactions from biomedical text. In Proc. COLING.
    • (2010) Proc. COLING
    • Liu, B.1    Qian, L.2    Wang, H.3    Zhou, G.4
  • 29
    • 34548583274 scopus 로고    scopus 로고
    • A tutorial on spectral clustering
    • U. Luxburg. 2007. A tutorial on spectral clustering. Statistics and computing, 17(4): 395-416.
    • (2007) Statistics and computing , vol.17 , Issue.4 , pp. 395-416
    • Luxburg, U.1
  • 32
    • 85037338954 scopus 로고    scopus 로고
    • Generating typed dependency parses from phrase structure parses
    • D. M. Marie-Catherine, Bill M., and Christopher D. M. 2006. Generating typed dependency parses from phrase structure parses. In Proceedings LREC, pages 449,454.
    • (2006) Proceedings LREC , vol.454 , pp. 449
    • Marie-Catherine, D.M.1    Bill, M.2    Christopher, D.M.3
  • 33
    • 84859080792 scopus 로고    scopus 로고
    • Event extraction as dependency parsing
    • D. McClosky, M. Surdeanu, and C. D. Manning. 2011. Event extraction as dependency parsing. In ACL, pages 1626-1635.
    • (2011) ACL , pp. 1626-1635
    • McClosky, D.1    Surdeanu, M.2    Manning, C.D.3
  • 34
    • 85083951332 scopus 로고    scopus 로고
    • Efficient estimation of word representations in vector space
    • abs/1301.3781
    • T. Mikolov, K. Chen, G. Corrado, and J. Dean. 2013. Efficient estimation of word representations in vector space. CoRR, abs/1301.3781.
    • (2013) CoRR
    • Mikolov, T.1    Chen, K.2    Corrado, G.3    Dean, J.4
  • 35
    • 71749116134 scopus 로고    scopus 로고
    • A rich feature vector for protein-protein interaction extraction from multiple corpora
    • M. Miwa, R. Stre, Y. Miyao, and J. Tsujii. 2009. A rich feature vector for protein-protein interaction extraction from multiple corpora. In Proc. EMNLP.
    • (2009) Proc. EMNLP
    • Miwa, M.1    Stre, R.2    Miyao, Y.3    Tsujii, J.4
  • 36
    • 77649273398 scopus 로고    scopus 로고
    • An experimental study of graph connectivity for unsupervised word sense disambiguation
    • R. Navigli and M. Lapata. 2010. An experimental study of graph connectivity for unsupervised word sense disambiguation. Pattern Analysis and Machine Intelligence, 32(4): 678-692.
    • (2010) Pattern Analysis and Machine Intelligence , vol.32 , Issue.4 , pp. 678-692
    • Navigli, R.1    Lapata, M.2
  • 37
    • 61949087310 scopus 로고    scopus 로고
    • Word sense disambiguation: A survey
    • R. Navigli. 2009. Word sense disambiguation: A survey. ACM Computing Surveys (CSUR), 41(2): 10.
    • (2009) ACM Computing Surveys (CSUR) , vol.41 , Issue.2 , pp. 10
    • Navigli, R.1
  • 39
    • 84943795646 scopus 로고    scopus 로고
    • Generative event schema induction with entity disambiguation
    • K. Nguyen, X. Tannier, O. Ferret, and R. Besançon. 2015. Generative event schema induction with entity disambiguation. In Proc. ACL.
    • (2015) Proc. ACL
    • Nguyen, K.1    Tannier, X.2    Ferret, O.3    Besançon, R.4
  • 40
    • 85011968980 scopus 로고
    • Tasks, domains, and languages for information extraction
    • B. Onyshkevych, M. E. Okurowski, and L. Carlson. 1993. Tasks, domains, and languages for information extraction. In TIPSTER.
    • (1993) TIPSTER
    • Onyshkevych, B.1    Okurowski, M.E.2    Carlson, L.3
  • 41
    • 33645983416 scopus 로고    scopus 로고
    • The proposition bank: An annotated corpus of semantic roles
    • M. Palmer, D. Gildea, and P. Kingsbury. 2005. The proposition bank: An annotated corpus of semantic roles. Computational Linguistics, 31(1): 71-106.
    • (2005) Computational Linguistics , vol.31 , Issue.1 , pp. 71-106
    • Palmer, M.1    Gildea, D.2    Kingsbury, P.3
  • 42
    • 84876787088 scopus 로고    scopus 로고
    • Mining entity types from query logs via user intent modeling
    • P. Pantel, T. Lin, and M. Gamon. 2012. Mining entity types from query logs via user intent modeling. In Proc. ACL2012.
    • (2012) Proc. ACL2012
    • Pantel, P.1    Lin, T.2    Gamon, M.3
  • 45
    • 84866016446 scopus 로고    scopus 로고
    • Open domain event extraction from twitter
    • ACM
    • A. Ritter, O. Etzioni, and S. Clark. 2012. Open domain event extraction from twitter. In Proc. SIGKDD2012, pages 1104-1112. ACM.
    • (2012) Proc. SIGKDD2012 , pp. 1104-1112
    • Ritter, A.1    Etzioni, O.2    Clark, S.3
  • 46
    • 80053284695 scopus 로고    scopus 로고
    • Fast and robust joint models for biomedical event extraction
    • R. Sebastian and M. Andrew. 2011. Fast and robust joint models for biomedical event extraction. In EMNLP.
    • (2011) EMNLP
    • Sebastian, R.1    Andrew, M.2
  • 47
    • 85120006796 scopus 로고    scopus 로고
    • On-demand information extraction
    • S. Sekine. 2006. On-demand information extraction. In Proc. COLING-ACL2006.
    • (2006) Proc. COLING-ACL2006
    • Sekine, S.1
  • 48
    • 84858385171 scopus 로고    scopus 로고
    • Preemptive information extraction using unrestricted relation discovery
    • Y. Shinyama and S. Sekine. 2006. Preemptive information extraction using unrestricted relation discovery. In Proc. HLT-NAACL2006.
    • (2006) Proc. HLT-NAACL2006
    • Shinyama, Y.1    Sekine, S.2
  • 49
    • 80053261327 scopus 로고    scopus 로고
    • Semi-supervised recursive autoencoders for predicting sentiment distributions
    • R. Socher, J. Pennington, E. H. Huang, A. Y. Ng, and C. D. Manning. 2011. Semi-supervised recursive autoencoders for predicting sentiment distributions. In Proc. EMNLP, pages 151-161.
    • (2011) Proc. EMNLP , pp. 151-161
    • Socher, R.1    Pennington, J.2    Huang, E.H.3    Ng, A.Y.4    Manning, C.D.5
  • 50
    • 84906925854 scopus 로고    scopus 로고
    • Grounded compositional semantics for finding and describing images with sentences
    • R. Socher, A. Karpathy, Q. V. Le, C. Manning, and A. Y. Ng. 2013a. Grounded compositional semantics for finding and describing images with sentences. TACL2013.
    • (2013) TACL2013
    • Socher, R.1    Karpathy, A.2    Le, Q.V.3    Manning, C.4    Ng, A.Y.5
  • 52
    • 85099019865 scopus 로고    scopus 로고
    • Introduction to the conll-2003 shared task: Language-independent named entity recognition
    • E. Tjong, K. Sang, and F. Meulder. 2003. Introduction to the conll-2003 shared task: Language-independent named entity recognition. In Proc. CONLL2003.
    • (2003) Proc. CONLL2003
    • Tjong, E.1    Sang, K.2    Meulder, F.3
  • 53
    • 84856031819 scopus 로고    scopus 로고
    • Latent semantic word sense induction and disambiguation
    • T. Van de Cruys and M. Apidianaki. 2011. Latent semantic word sense induction and disambiguation. In Proc. ACL-HLT2011.
    • (2011) Proc. ACL-HLT2011
    • Van De Cruys, T.1    Apidianaki, M.2
  • 54
    • 84944029637 scopus 로고    scopus 로고
    • Boosting transition-based amr parsing with refined actions and auxiliary analyzers
    • C. Wang, N. Xue, and S. Pradhan. 2015a. Boosting transition-based amr parsing with refined actions and auxiliary analyzers. In Proc. ACL2015.
    • (2015) Proc. ACL2015
    • Wang, C.1    Xue, N.2    Pradhan, S.3
  • 55
    • 84941219499 scopus 로고    scopus 로고
    • A sense-topic model for word sense induction with unsupervised data enrichment
    • J. Wang, M. Bansal, K. Gimpel, B. Ziebart, and T. Clement. 2015b. A sense-topic model for word sense induction with unsupervised data enrichment. TACL, 3: 59-71.
    • (2015) TACL , vol.3 , pp. 59-71
    • Wang, J.1    Bansal, M.2    Gimpel, K.3    Ziebart, B.4    Clement, T.5
  • 58
    • 85026953115 scopus 로고    scopus 로고
    • Phrase type sensitive tensor indexing model for semantic composition
    • Y. Zhao, Z. Liu, and M. Sun. 2015. Phrase type sensitive tensor indexing model for semantic composition. In Proc. AAAI2015.
    • (2015) Proc. AAAI2015
    • Zhao, Y.1    Liu, Z.2    Sun, M.3
  • 59
    • 83055186332 scopus 로고    scopus 로고
    • It makes sense: A wide-coverage word sense disambiguation system for free text
    • Z. Zhong and H. T. Ng. 2010. It makes sense: A wide-coverage word sense disambiguation system for free text. In Proceedings of the ACL 2010 System Demonstrations, pages 78-83.
    • (2010) Proceedings of the ACL 2010 System Demonstrations , pp. 78-83
    • Zhong, Z.1    Ng, H.T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.