[1]CHEN C,NG V.Joint modeling for Chinese event extraction with rich linguistic features[C]//Proceedings of COLING’12.Washington D.C.,USA:IEEE Press,2012:529-544.
[2]DODDINGTON G R,MITCHELL A,PRZYBOCKI M A,et al.The Automatic Content Extraction(ACE) program-tasks,data,and evaluation[EB/OL].[2017-11-03].https://www.researchgate.net/publication/228770793.
[3]KIM Y.Convolutional neural networks for sentence classification[EB/OL].[2017-11-03].https://arxiv.org/abs/1510.038202.
[4]CHEN Y,LIU S,HE S,et al.Event extraction via bidirectional long short-term memory tensor neural networks[C]//Proceedings of China National Conference on Chinese Computational Linguistics.Berlin,Germany:Springer,2016:190-203.
[5]AHN D.The stages of event extraction[C]//Proceedings of the Workshop on Annotating and Reasoning About Time and Events.Cambridge,USA:MIT Press,2006:1-8.
[6]LIAO S,GRISHMAN R.Using document level cross-event inference to improve event extraction[C]//Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics.Cambridge,USA:MIT Press,2010:789-797.
[7]HONG Y,ZHANG J,MA B,et al.Using cross-entity inference to improve event extraction[C]//Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics:Human Language Technologies.Cambridge,USA:MIT Press,2011:1127-1136.
[8]付剑锋,刘宗田,刘炜,等.基于特征加权的事件要素识别[J].计算机科学,2010,37(3):239-241.
[9]LI Q,JI H,HUANG L.Joint event extraction via structured prediction with global features[C]//Proceedings of Meeting of the Association for Computational Linguistics.Cambridge,USA:MIT Press,2013:73-82.
[10]NGUYEN T H,CHO K,GRISHMAN R.Joint event extraction via recurrent neural networks[C]//Proceedings of Conference of the North American Chapter of the Association for Computational Linguistics:Human Language Technologies.Cambridge,USA:MIT Press,2016:300-309.
[11]CHEN Y,XU L,LIU K,et al.Event extraction via dynamic multi-pooling convolutional neural networks[C]//Proceedings of Meeting of the Association for Computational Linguistics.Cambridge,USA:MIT Press,2015:167-176.
[12]TURIAN J,RATINOV L,BENGIO Y.Word representations:a simple and general method for semi-supervised learning[C]//Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics.Cambridge,USA:MIT Press,2010:384-394.
[13]MIKOLOV T,CHEN K,CORRADO G,et al.Efficient estimation of word representations in vector space[EB/OL].[2017-11-03].http://cn.arxiv.org/abs/1301.3781.
[14]HOCHREITE R S,SCHMIDHUBER J.Long short-term memory[J].Neural Computation,2012,9(8):1735-1750.
[15]GRAVES A.Supervised sequence labelling with recurrent neural networks[M].Berlin,Germany:Springer,2012.
[16]KINGMA D,BA J.Adam:a method for stochastic optimization[EB/OL].[2017-11-03].http://cn.arxiv.org/abs/1412.6980.
[17]ZHANG Z,XU W,CHEN Q.Joint event extraction based on skip-window convolutional neural networks[C]//Proceedings of International Conference on Computer Processing of Oriental Languages.Berlin,Germany:Springer,2016:324-334. |