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Chapitre d'ouvrage Lecture Notes in Computer Science Année : 2014

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.
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halshs-01086214, version 1 (24-11-2014)

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Guillermo Moncecchi, Jean-Luc Minel, Dina Wonsever. The Influence of Syntactic Information on Hedge Scope Detection. Ana L.C. Bazzan, Karim Pichara. Advances in Artificial Intelligence -- IBERAMIA 2014, 8864, springer-Verlag, pp.83 - 94, 2014, 14th Ibero-American Conference on AI, 978-3-319-12026-3. ⟨10.1007/978-3-319-12027-0_7⟩. ⟨halshs-01086214⟩
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