Dynamic Cross-Sentential Context Representation for Event Detection

摘要

In this paper, which focuses on the supervised detection of event mentions in texts, we propose a method to exploit a large context through the representation of distant sentences selected based on coref-erence relations between entities. We show the benefits of extending a neural sentence-level model with this representation through evaluation carried out on the TAG Event 2015 reference corpus.