The Influence of Syntactic Information on Hedge Scope Detection
Résumé
In this paper we elaborate over the use of sequential super-vised learning methods on the task of hedge cue scope detection. We address the task using a learning methodology that proposes the use of an iterative, error-based approach to improve classification performance. We analyze how the incorporation of syntactic constituent information to the learning and post-processing steps produces a performance im-provement of almost twelve points in terms of F-score over previously unseen data.
Domaines
Linguistique
Origine :
Fichiers produits par l'(les) auteur(s)
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