Improving Event Coreference Resolution by Modeling Correlations between Event Coreference Chains and Document Topic Structures

Prafulla Kumar Choubey, Ruihong Huang
2018 Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)  
This paper proposes a novel approach for event coreference resolution that models correlations between event coreference chains and document topical structures through an Integer Linear Programming formulation. We explicitly model correlations between the main event chains of a document with topic transition sentences, inter-coreference chain correlations, event mention distributional characteristics and sub-event structure, and use them with scores obtained from a local coreference relation
more » ... ssifier for jointly resolving multiple event chains in a document. Our experiments across KBP 2016 and 2017 datasets suggest that each of the structures contribute to improving event coreference resolution performance.
doi:10.18653/v1/p18-1045 dblp:conf/acl/HuangC18 fatcat:y7ukfqfbubcmhctmtor77l5sve