@inproceedings{grobol-2019-neural,
    title = "Neural Coreference Resolution with Limited Lexical Context and Explicit Mention Detection for Oral {F}rench",
    author = {Grobol, Lo{\"i}c},
    editor = "Ogrodniczuk, Maciej  and
      Pradhan, Sameer  and
      Grishina, Yulia  and
      Ng, Vincent",
    booktitle = "Proceedings of the Second Workshop on Computational Models of Reference, Anaphora and Coreference",
    month = jun,
    year = "2019",
    address = "Minneapolis, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/W19-2802/",
    doi = "10.18653/v1/W19-2802",
    pages = "8--14",
    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."
}