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Neural Coreference Resolution with Limited Lexical Context and Explicit Mention Detection for Oral French

Abstract : We propose an end-to-end coreference resolution system obtained by adapting neural models that have recently improved the state-of-the-art on the OntoNotes benchmark to make them applicable to other paradigms for this task. We report the performances of our system on ANCOR, a corpus of transcribed oral French-for which it constitutes a new baseline with proper evaluation.
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https://hal.inria.fr/hal-02151569
Contributor : Loïc Grobol <>
Submitted on : Monday, September 23, 2019 - 4:25:25 PM
Last modification on : Tuesday, September 22, 2020 - 3:50:36 AM

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Loïc Grobol. Neural Coreference Resolution with Limited Lexical Context and Explicit Mention Detection for Oral French. Second Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC19), Jun 2019, Minneapolis, United States. ⟨hal-02151569v2⟩

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