TIMERS: Document-level Temporal Relation Extraction
2021-08-01ACL 2021Unverified0· sign in to hype
Puneet Mathur, Rajiv Jain, Franck Dernoncourt, Vlad Morariu, Quan Hung Tran, Dinesh Manocha
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We present TIMERS - a TIME, Rhetorical and Syntactic-aware model for document-level temporal relation classification in the English language. Our proposed method leverages rhetorical discourse features and temporal arguments from semantic role labels, in addition to traditional local syntactic features, trained through a Gated Relational-GCN. Extensive experiments show that the proposed model outperforms previous methods by 5-18\% on the TDDiscourse, TimeBank-Dense, and MATRES datasets due to our discourse-level modeling.