计算机科学 ›› 2019, Vol. 46 ›› Issue (8): 9-15.doi: 10.11896/j.issn.1002-137X.2019.08.002
高李政, 周刚, 罗军勇, 兰明敬
GAO Li-zheng, ZHOU Gang, LUO Jun-yong, LAN Ming-jing
摘要: 事件抽取是信息抽取领域的一个重要研究方向,在情报收集、知识提取、文档摘要、知识问答等领域有着广泛应用。对当前事件抽取领域研究得较多的元事件抽取进行了综述。首先,简要介绍了元事件和元事件抽取的基本概念,以及元事件抽取的主要实现方法。然后,重点阐述了元事件抽取的主要任务,详细介绍了元事件检测过程,并对其他相关任务进行了概述。最后,总结了元事件抽取面临的问题,在此基础上展望了元事件抽取的发展趋势。
中图分类号:
[1]AHN D.The stages of event extraction[C]∥Proceedings of the Workshop on Annotating and Reasoning about Time and Events.Association for Computational Linguistics,Stroudsburg,PA:ACL,2006:1-8. [2]LI Q,JI H,HUANG L.Joint event extraction via structured prediction with global features[C]∥Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics.Stroudsburg,PA:ACL,2013:73-82. [3]NGUYEN T H,CHO K,GRISHMAN R.Joint event extraction via recurrent neural networks[C]∥Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics:Human Language Technologies.Stroudsburg,PA:ACL,2016:300-309. [4]ZHAO Y Y,QIN B,CHE W X,et al.Research on Chinese Event Extraction[J].Journal of Chinese Information Proces-sing,2008,22(1):3-8.(in Chinese) 赵妍妍,秦兵,车万翔,等.中文事件抽取技术研究[J].中文信息学报,2008,22(1):3-8. [5]LI P,ZHOU G.Employing morphological structures and se- memes for Chinese event extraction[C]∥Proceedings of COLING 2012.2012:1619-1634. [6]CHEN C,NG V.Joint modeling for chinese event extraction with rich linguistic features[C]∥Proceedings of COLING 2012.2012:529-544. [7]LI P,ZHOU G,ZHU Q,et al.Employing compositional semantics and discourse consistency in Chinese event extraction[C]∥Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning.Stroudsburg,PA:ACL,2012:1006-1016. [8]BRONSTEIN O,DAGAN I,LI Q,et al.Seed-Based Event Trigger Labeling:How far can event descriptions get us?[C]∥Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing.Stroudsburg,PA:ACL,2015:372-376. [9]HUANG L,JI H,CHO K,et al.Zero-shot transfer learning for event extraction[J].arXiv:1707.01066,2017. [10]LIU S,CHEN Y,LIU K,et al.Exploiting argument information to improve event detection via supervised attention mechanisms[C]∥Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics.Stroudsburg,PA:ACL,2017:1789-1798. [11]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-Volume 1.Association for Computational Linguistics,2011:1127-1136. [12]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.Association for Computational Linguistics,2010:789-797. [13]LIU S,LIU K,HE S,et al.A Probabilistic Soft Logic Based Approach to Exploiting Latent and Global Information in Event Classification[C]∥Thirtieth AAAI Conference on Artificial Intelligence.Menlo Park,CA:AAAI,2016:2993-2999. [14]JI H,GRISHMAN R.Refining event extraction through unsupervised cross-document inference[C]∥Proceedings of ACL-08:HLT.Stroudsburg,PA:ACL,2008:254-262. [15]LU W,NGUYEN T H.Similar but not the Same:Word Sense Disambiguation Improves Event Detection via Neural Representation Matching[C]∥Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing.Stroudsburg,PA:ACL,2018:4822-4828. [16]RAGANATO A,BOVI C D,NAVIGLI R.Neural sequence learning models for word sense disambiguation[C]∥Procee-dings of the 2017 Conference on Empirical Methods in Natural Language Processing.Stroudsburg,PA:ACL,2017:1156-1167. [17]CHEN Z,JI H.Language specific issue and feature exploration in Chinese event extraction[C]∥Proceedings of Human Language Technologies:The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics,Companion Volume:Short Papers.Association for Computational Linguistics,2009:209-212. [18]HOU L B,LI P F,ZHU Q M.Study of Event Recognition Based on CRFs and Cross-event[J].Computer Engineering,2012,38(24):191-195.(in Chinese) 侯立斌,李培峰,朱巧明.基于CRFs和跨事件的事件识别研究[J].计算机工程,2012,38(24):191-195. [19]LIU S,CHEN Y,HE S,et al.Leveraging framenet to improve automatic event detection[C]∥Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics.Stroudsburg,PA:ACL,2016:2134-2143. [20]BAKER C F,FILLMORE C J,LOWE J B.The berkeley framenet project[C]∥Proceedings of the 17th international conference on Computational linguistics.Association for Computational Linguistics,1998:86-90. [21]SPILIOPOULOU E,HOVY E H,MITAMURA T,et al.Event Detection Using Frame-Semantic Parser[C]∥Meeting of the Association for Computational Linguistics.Stroudsburg,PA:ACL,2017:15-20. [22]BOLLACKER K,EVANS C,PARITOSH P,et al.Freebase:a collaboratively created graph database for structuring human knowledge[C]∥Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data.New York:ACM,2008:1247-1250. [23]CHEN Y,LIU S,ZHANG X,et al.Automatically labeled data generation for large scale event extraction[C]∥Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics.Stroudsburg,PA:ACL,2017:409-419. [24]NGUYEN T H,FU L,CHO K,et al.A two-stage approach for extending event detection to new types via neural networks[C]∥Proceedings of the 1st Workshop on Representation Learning for NLP.Stroudsburg,PA:ACL,2016:158-165. [25]LI P F,ZHOU G D,ZHU Q M.Semantics-Based joint model of Chinese event trigger extraction[J].Journal of Software,2016,27(2):280-294.(in Chinese) 李培峰,周国栋,朱巧明.基于语义的中文事件触发词抽取联合模型[J].软件学报,2016,27(2):280-294. [26]CHEN Z,JI H.Can one language bootstrap the other:a case study on event extraction[C]∥Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing.Association for Computational Linguistics,2009:66-74. [27]LIU J,CHEN Y,LIU K,et al.Event detection via gated multilingual attention mechanism[C]∥Thirty-Second AAAI Confe-rence on Artificial Intelligence.Menlo Park,CA:AAAI,2018. [28]MIKOLOV T,SUTSKEVER I,CHEN K,et al.Distributed representations of words and phrases and their compositionality[C]∥Advances in neural information processing systems.Cambridge,MA:MIT Press,2013:3111-3119. [29]MIKOLOV T,CHEN K,CORRADO G,et al.Linguistic regularities in continuous space word representations[C]∥Procee-dings of the Conference of the North American Chapter of the Association for Computational Linguistics:Human Language Technologies.Stroudsburg,PA:ACL,2013:746-751. [30]PENNINGTON J,SOCHER R,MANNING C.Glove:Global vectors for word representation[C]∥Proceedings of the 2014 Conference on Empirical Methods in Natural Language Proces-sing (EMNLP).Stroudsburg,PA:ACL,2014:1532-1543. [31]NGUYEN T H,GRISHMAN R.Event detection and domain adaptation with convolutional neural networks[C]∥Proceedings of the 53rd Annual Meeting of the Association for ComputationalLinguistics and the 7th International Joint Conference onNatu-ral Language Processing.Stroudsburg,PA:ACL,2015:365-371. [32]CHEN Y,XU L,LIU K,et al.Event extraction via dynamic multi-pooling convolutional neural networks[C]∥Proceedings of the 53rd Annual Meeting of the Association for ComputationalLinguistics and the 7th International Joint Conference on Natu-ral Language Processing.Stroudsburg,PA:ACL,2015:167-176. [33]NGUYEN T H,GRISHMAN R.Modeling skip-grams for event detection with convolutional neural networks[C]∥Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing.Stroudsburg,PA:ACL,2016:886-891. [34]NGUYEN T H,GRISHMAN R.Graph convolutional networks with argument-aware pooling for event detection[C]∥Thirty-Second AAAI Conference on Artificial Intelligence.Menlo Park,CA:AAAI,2018. [35]KEARNES S,MCCLOSKEY K,BERNDL M,et al.Molecular graph convolutions:moving beyond fingerprints[J].Journal of Computer-aided Molecular Design,2016,30(8):595-608. [36]SHA L,QIAN F,CHANG B,et al.Jointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Interaction[C]∥Thirty-Second AAAI Conference on Artificial Intelligence.Menlo Park,CA:AAAI,2018. [37]ORR J W,TADEPALLI P,FERN X.Event Detection with Neural Networks:A Rigorous Empirical Evaluation[J].arXiv:1808.08504,2018. [38]FENG X,QIN B,LIU T.A language-independent neural net- work for event detection[J].Science China Information Sciences,2018,61(9):092106. [39]DUAN S,HE R,ZHAO W.Exploiting document level information to improve event detection via recurrent neural networks[C]∥Proceedings of the Eighth International Joint Conference on Natural Language Processing.Berlin:Springer,2017:352-361. [40]LE Q,MIKOLOV T.Distributed representations of sentences and documents[C]∥International Conference on Machine Learning.New York:ACM,2014:1188-1196. [41]NAUGHTON M,KUSHMERICK N,CARTHY J.Event ex- traction from heterogeneous news sources[C]∥Proceedings of the AAAI Workshop Event Extraction and Synthesis.Menlo Park,CA:AAAI,2006:1-6. [42]XU H L,CHEN J X,ZHOU C L,et al.Research on Event Type Identification for Chinese Event Extraction[J].Mind and Computation,2010,4(1):34-44.(in Chinese) 许红磊,陈锦秀,周昌乐,等.自动识别事件类别的中文事件抽取技术研究[J].心智与计算,201,40(1):34-44. [43]XU X Y,LI B C,ZHANG X F,et al.News Text Event Extraction Driven by Event Sample[J].Computer Science,2011,38(8):232-235.(in Chinese) 许旭阳,李弼程,张先飞,等.基于事件实例驱动的新闻文本事件抽取[J].计算机科学,2011,38(8):232-235. [44]PENG H,SONG Y,ROTH D.Event detection and co-reference with minimal supervision[C]∥Proceedings of the 2016 Confe-rence on Empirical Methods in Natural Language Processing.Stroudsburg,PA:ACL,2016:392-402. [45]LI P,ZHU Q,ZHOU G.Joint Modeling of Argument Identifica- tion and Role Determination in Chinese Event Extraction with Discourse-Level Information[C]∥IJCAI.San Francisco:Margan Kaufmann,2013:2120-2126. [46]GUPTA P,JI H.Predicting unknown time arguments based on cross-event propagation[C]∥Proceedings of the ACL-IJCNLP 2009 Conference Short Papers.Stroudsburg,PA:ACL,2009:369-372. [47]CHEN Z,JI H,HARALICK R.A pairwise event coreference model,feature impact and evaluation for event coreference resolution[C]∥Proceedings of the Workshop on Events in Emerging Text Types.Association for Computational Linguistics,Stroudsburg,PA:ACL,2009. [48]HUANG L,CASSIDY T,FENG X,et al.Liberal event extraction and event schema induction[C]∥Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics.Stroudsburg,PA:ACL,2016:258-268. [49]BANARESCU L,BONIAL C,CAI S,et al.Abstract meaning representation for sembanking[C]∥Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse.Stroudsburg,PA:ACL,2013:178-186. |
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