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Communication Dans Un Congrès Année : 2021

Dynamic cross-sentential context representation for event detection

Résumé

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 coreference relations between entities. We show the benefits of extending a neural sentence-level model with this representation through evaluation carried out on the TAC Event 2015 reference corpus.
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Dates et versions

cea-04363096 , version 1 (24-12-2023)

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Dorian Kodelja, Romaric Besancon, Olivier Ferret. Dynamic cross-sentential context representation for event detection. 43rd European Conference on IR Research (ECIR 2021), Mar 2021, Lucca (online), Italy. pp.295-302, ⟨10.1007/978-3-030-72240-1_28⟩. ⟨cea-04363096⟩
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