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Improving Event Coreference Resolution by Modeling Correlations between Event Coreference Chains and Document Topic Structures
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
doi:10.18653/v1/p18-1045
dblp:conf/acl/HuangC18
fatcat:y7ukfqfbubcmhctmtor77l5sve