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.
Domaines
Traitement du texte et du document
Origine : Fichiers produits par l'(les) auteur(s)