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