计算机科学 ›› 2018, Vol. 45 ›› Issue (6): 204-207.doi: 10.11896/j.issn.1002-137X.2018.06.036
黄一龙, 李培峰, 朱巧明
HUANG Yi-long, LI Pei-feng, ZHU Qiao-ming
摘要: 事件的因果关系与时序关系是两种重要的事件关系。已有研究往往将事件的因果关系与时序关系识别分别看成两项独立的任务,这种做法忽略了两种事件关系之间的关联性。文中提出使用整数线性规划方法来构建基于事件因果关系与时序关系识别的联合推理模型。联合模型对两种事件关系进行约束,在分类器模型的基础上对结果进行优化。最终结果表明,所提联合推理模型能够有效增强识别性能。
中图分类号:
[1]WOLFF P.Representing causation[J].Journal of Experimental Psychology:General,2007,136(1):82-111. [2]KHOO C S G,CHAN S,NIU Y.Extracting Causal Knowledge from a Medical Database Using Graphical Patterns[C]//Mee-ting of the Association for Computational Linguistics.2002:336-343. [3]GIRJU R,DAN M.Mining Answers for Causation Questions[C]//AAAI Symposium on Mining Answers from texts and Knowledge Bases.2002. [4]BETHARD S,CORVEY W,KLINGENSTEIN S,et al.Building a Corpus of Temporal-Causal Structure[C]//International Conference on Language Resources and Evaluation,Marrakech,Morocco.DBLP,2008:908-915. [5]BETHARD S,MARTIN J H.Learning semantic links from a corpus of parallel temporal and causal relations[C]//Meeting of the Association for Computational Linguistics on Human Language Technologies:Short Papers.Association for ComputationalLinguistics,2008:177-180. [6]DO Q X,CHAN Y S,ROTH D.Minimally supervised event causality identification[C]//Conference on Empirical Methods in Natural Language Processing.Association for Computational Linguistics,2011:294-303. [7]RADINSKY K,DAVIDOVICH S,MARKOVITCH S.Learning causality for news events prediction[C]//International Confe-rence on World Wide Web.ACM,2012:909-918. [8]RIAZ M,GIRJU R.Recognizing Causality in Verb-Noun Pairs via Noun and Verb Semantics[C]//Eacl 2014 Workshop on Computational Approaches to Causality in Language.2014:48-57. [9]MIRZA P,SPRUGNOLI R,TONELLI S,et al.Annotating causality in the TempEval-3 corpus[C]//Proceedings of the EACL 2014 Workshop on Computational Approaches to Causality in Language (CAtoCL).2014:10-19. [10]MIRZA P.Extracting Temporal and Causal Relations between Events[C]//Proceedings of the ACL 2014 Student Research Workshop.Baltimore,Maryland USA,2014:10-17. [11]MIRZA P,TONELLI S.CATENA:CAusal and TEmporal relation extraction from NAtural language texts[C]//The 26th International Conference on Computational Linguistics.2016:64-75. [12]MANI I,VERHAGEN M,WELLNER B,et al.Machine learning of temporal relations[C]//Meeting of the Association for Computational Linguistics.Association for Computational Linguistics,2006:753-760. [13]CHAMBERS N,WANG S,JURAFSKY D.Classifying temporal relations between events[C]//Meeting of the ACL on Interactive Poster and Demonstration Sessions.Association for Computational Linguistics,2007:173-176. [14]CHAMBERS N,DAN J.Jointly Combining Implicit Constraints Improves Temporal Ordering[C]//Conference on Empirical Methods in Natural Language Processing.2009:698-706. [15]ZHENG X,LI P F,ZHU Q M.Global Inference for Temporal Relations Between Chinese Events[J].Journal of Chinese Information Processing,2016,30(5):129-135.(in Chinese) 郑新,李培峰,朱巧明.基于全局优化的中文事件时序关系推理方法[J].中文信息学报,2016,30(5):129-135. [16]HUANG Y L,LI P F,ZHU Q M.The Construction of Chinese Relevant Event Corpus and Its Recognition Approach[J] .Computer Engineering and Science,2015,37(12):2306-2311.(in Chinese) 黄一龙,李培峰,朱巧明.中文事件相关性语料库构建及识别方法[J].计算机工程与科学,2015,37(12):2306-2311. [17]ZHENG X,LI P F,ZHU Q M.Annotation and Classification of Temporal Relation Between Chinese Events[J].ComputerScien-ce,2015,42(7):276-279.(in Chinese) 郑新,李培峰,朱巧明,等.中文事件时序关系的标注和分类方法[J].计算机科学,2015,42(7):276-279. |
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