Computer Science ›› 2019, Vol. 46 ›› Issue (8): 277-281.doi: 10.11896/j.issn.1002-137X.2019.08.046

• Artificial Intelligence • Previous Articles     Next Articles

Employing Multi-attention Mechanism to Resolve Event Coreference

FANG Jie, LI Pei-feng, ZHU Qiao-ming   

  1. (School of Computer Science and Technology,Soochow University,Suzhou,Jiangsu 215006,China)
    (Province Key Laboratory of Computer Information Processing Technology of Jiangsu,Suzhou,Jiangsu 215006,China)
  • Received:2018-07-29 Online:2019-08-15 Published:2019-08-15

Abstract: Event coreference resolution is an asignificant subtask of information extraction and plays an import role in information fusion,QA system and reading comprehension.This paper introduced a multi-attention-based CNN neural network,called CorefNet,to resolve document-level event coreference.CorefNet uses a deep CNN to extract event features and a multi-attention mechanism to capture important features.Compared with most previous studies with probability-based or graph-based models,the proposed model only uses a few features.Compared with the current main stream nueral network model,this menthod can extract deep event features,and significantly improve the performance of event coreference resolution.The experimental results on the ACE2005 corpus show that this model achieves the state-of-the-art results

Key words: Event coreference, Document-level, Attention mechanism, Deep CNN

CLC Number: 

  • TP391
[1] ALLAN J,CARBONELL J G,DODDINGTON G,et al.Topic Detection and Tracking Pilot Study:Final report[C]∥Procee-dings of the DARPA Broadcast News Transcription and Understanding Workshop.Burlington:Morgan Kaufmann Press,1998:194-218.
[2] LI P F,ZHU Q M,ZHOU G D.Argument Inference from Relevant Event Mentions in Chinese Argument Extraction[C]∥Proceedings of ACL 2013.Minneapolis:ACL Press,2013:1477-1487.
[3] NARAYANAN S,HARABAGIU S.Question Answering Based on Semantic Structures[C]∥Proceedings of COLING 2004.Switzerland:ACL Press,2004:693-702.
[4] CHOUBEY P K,HUANG R H.Event Coreference Resolution by Iteratively Unfolding Inter-dependencies among Events[C]∥Proceedings of EMNLP 2017.Copenhagen:ACL Press,2017:2124-2133.
[5] CHEN Z,JI H.Graph-based Event Coreference Resolution [C]∥Proceedings of TextGraphs 4.Singapore:ACL Press,2009:54-57.
[6] HAGHIGHI A,KLEIN D.Simple Coreference Resolution with Rich Syntactic and Semantic Features[C]∥Proceedings of EMNLP 2009.Singapore:ACL Press,2009:1152-1161.
[7] NG V,CARDIE C.Identifying Anaphoric and Non-Anaphoric Noun Phrases to Improve Coreference Resolution[C]∥Procee-dings of COLING 2002.Taipei:ACL Press,2002:1-7.
[8] 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.Borovets:ACL Press,2009:17-22.
[9] LIU Z Z,ARAKI J,HOVY E,et al.Supervised Within-Docu- ment Event CoReference Using Information Propagation[C]∥Proceedings of LREC 2014.Reykjavik:Springer,2014:4539-4544.
[10] LU J,NG V.Joint Learning for Event Coreference Resolution[C]∥Proceedings of ACL 2017.Vancouver:ACL Press,2017:90-101.
[11] KIM Y.Convolutional Neural Networks for Sentence Classification[C]∥Proceedings of EMNLP 2014.Doha:ACL Press,2014:1746-1751.
[12] YIH W T,TOUTANOVA K,PLATT J C,et al.Learning Discriminative Projections for Text Similarity Measures[C]∥Proceedings of CoNLL 2011.Oregan:ACL Press,2011:247-256.
[13] KRAUSE S,XU F Y,USZKOREIT H,et al.Event Linking with Sentential Features from Convolutional Neural Networks[C]∥Proceedings of CoNLL 2016.Berlin:ACL Press,2016:239-249.
[14] VASWANI A,SHAZEER N,PARMAR N,et al.Attention Is All You Need[C]∥Proceedings of NLPS 2017.California:MIT Press,2017:5998-6008.
[15] PENNINGTON J,SOCHER R,MANNING C,et al.Glove: Global Vectors for Word Representation[C]∥Proceedings of EMNLP 2014.Doha:ACL Press,2014:1532-1543.
[16] BAGGA A,BALDWIN B.Algorithms for Scoring Coreference Chains[C]∥Proceedings of LREC 1998.Granada:ELRA Press,1998:563-566.
[17] LUO X Q.On Coreference Resolution Performance Metrics [C]∥Proceedings of EMNLP 2005.Vancouver:ACL Press,2005:25-32.
[18] VILAIN M,BURGER J,ABERDEEN J,et al.A Model-Theoretic Coreference Scoring Scheme[C]∥Proceedings of MUC-6.California:ACM Press,1998:45-52.
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