Neural Coreference Resolution with Limited Lexical Context and Explicit Mention Detection for Oral French
Résumé
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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naacl2019.pdf (77.05 Ko)
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W19-2802-supplementary.tar.gz (35.64 Ko)
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slides.pdf (978.54 Ko)
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