Computer Science ›› 2020, Vol. 47 ›› Issue (12): 233-238.doi: 10.11896/jsjkx.191100031
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ZHU Pei-pei, WANG Zhong-qing, LI Shou-shan, WANG Hong-ling
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[1] CHEN Z,JI H.Language specific issue and feature exploration in chinese event extraction[C]//Proceedings of 47th ACL.Boulder,Colorado:Association for Computational Linguistics,2009:209-212. [2] LI P F,ZHOU G D.Employing morphological structures andsememes for chinese event extration[C]//Proceedings of COLING 2012.Mumbai,India,2012:1619-1634. [3] WANG W.Chinese news event 5w1h semantic elements extraction for event ontology population[C]//Proceedings of the WWW 2012.Lyon,France,2012:197-202. [4] JI H.Cross-lingual Predicate Cluster Acquisition to improve Bilingual Event Extraction by Inductive Learning[C]//Proceedings of the Workshop on UMSLLS 2009.Boulder,Colorado:Association for Computational Linguistics,2009:27-35. [5] LI P F,ZHU Q M,DIAO H J,et al.Joint modeling of triggeridentification and event type determination in chinese event extraction[C]//Proceedings of COLING 2012.Mumbai,India,2012:1635-1651. [6] LI Q,JI H,HUANG L.Joint event extraction via structured prediction with global features[C]//Proceedings of the 51st ACL.Sofia,Bulgaria:Association for Computational Linguistics,2013:789-797. [7] NGUYEN T H,GRISHMAN R.Event detection and domain adaptation withconvolutional neural networks[C]//Proceedings of 53rd ACL.Beijing,China:Association for Computational Linguistics,2015:365-371. [8] CHEN Y B,XU L H,LIU K,et al.Event extraction via dynamic multi-poolingconvolutional neural networks[C]//Proceedings of 53rd ACL.Beijing,China:Association for Computational Linguistics,2015:167-176. [9] NGUYEN T H,CHO K,GRISHMAN R.Joint event extraction via recurrent neural networks[C]//Proceedings of NAACL-HLT 2016.San Diego,California,USA:Association for Computational Linguistics,2016:300-309. [10] FENG X C,HUANG L F,TANG D Y,et al.A language independent neural network for event detection[C]//Proceedings of 54th ACL.Berlin,Germany:Association for Computational Linguistics,2016:66-71. [11] LIU S L,CHEN Y B,LIUK,et al.Exploiting argument information to improve event detection via supervised attention mechanisms[C]//Proceedings of 55th ACL.Vancouver,Canada:Association for Computational Linguistics,2017:1789-1798. [12] LIU S L,CHEN Y B,HE S Z,et al.Leveraging framenet to improve automatic event detection[C]//Proceedings of 54th ACL.Berlin,Germany:Association for Computational Linguistics,2016:2134-2143. [13] LIN H Y,LU Y J,HAN X P,et al.Nugget proposal networks forchinese event detection[C]//Proceedings of 56th ACL.Melbourne,Australia:Association for Computational Linguistics,2018:1565-1574. [14] ZENG Y,YANG H H,FENG Y S,et al.A convolution bilstm neural network model for chinese event extraction[C]//Proceedings of NLPCC-ICCPOL.2016:275-287. [15] ZENG Y,FENG Y S,MA R,et al.Scale up event extractionlearning via automatic training data generation[C]//Proceedings of 32nd AAAI Conference on Artificial Intelligence.New Orleans,Louisiana,USA:AAAI Press,2018:6045-6052. [16] JI H,GRISHMAN R.Refining event extraction through cross-document inference[C]//Proceedings of 46th ACL.Columbus,Ohio,USA:Association for Computational Linguistics,2008:254-262. [17] LIAO S S,GRISHMAN R.Using document level cross-event inference to improve event extraction[C]//Proceedings of 48th ACL.Uppsala,Sweden:Association for Computational Linguistics,2010:789-797. [18] HONG Y,ZHANG J F,MA B,et al.Using cross-entity inference to improve event extraction[C]//Proceedings of 49th ACL.Portland,Oregon,USA:Association for Computational Linguistics,2011:1127-1136. [19] ZHAO Y,JIN X L,WANG Y Z,et al.Document embedding enhanced event detection with hierarchical and supervised attention[C]//Proceedings of 56th ACL.Melbourne,Australia:Association for Computational Linguistics,2018:414-419. [20] LI P F,ZHOU G D,ZHU Q M,et al.Employing compositional semantics and discourse consistency inchinese event extraction[C]//Proceedings of EMNLP 2012.Jeju Island,Korea:Association for Computational Linguistics,2012:1006-1016. [21] CHEN C,NG V.Joint modeling ofchinese event extraction with rich linguistic features[C]//Proceedings of COLING 2012.Mumbai,India,2012:529-544. |
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