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Apports des analyses syntaxiques pour la détection automatique de mentions dans un corpus de français oral

Abstract : We present three experiments in detecting entity mentions in the corpus of oral French ANCOR, using publicly available parsing tools and state-of-the-art mention detection techniques used in coreference detection, anaphora resolution and Entity Detection and Tracking systems. While the tools we use are not specifically designed to deal with oral French, our results are comparable to those of state-of-the-art end-to-end systems for other languages. We also mention several ways to improve our results for future work in developing an end-to-end coreference resolution system for French, to which these experiments could be a baseline for mention detection.
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https://hal.inria.fr/hal-01558711
Contributor : Loïc Grobol <>
Submitted on : Sunday, July 9, 2017 - 2:31:24 PM
Last modification on : Wednesday, November 18, 2020 - 4:51:17 PM
Long-term archiving on: : Wednesday, January 24, 2018 - 7:00:55 AM

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Loïc Grobol, Isabelle Tellier, Éric Villemonte de la Clergerie, Marco Dinarelli, Frédéric Landragin. Apports des analyses syntaxiques pour la détection automatique de mentions dans un corpus de français oral. TALN 2017, Association pour le Traitement Automatique des Langues (ATALA), Jun 2017, Orléans, France. ⟨hal-01558711⟩

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