Neural Coreference Resolution with Limited Lexical Context and Explicit Mention Detection for Oral
Year: 2019
Type: conference-paper
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.
DOI: 10.18653/v1/w19-2802
Author: Loïc Grobol
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W2964143533