有限词汇语境下的神经共指解析与法语口语显式提及检测

Proceedings of the Second Workshop on Computational Models of Reference, Anaphora and Coreference Pub Date : 2019-06-01 DOI:10.18653/v1/W19-2802

Loïc Grobol

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引用次数: 10

摘要

我们提出了一个端到端共参考分辨率系统，该系统通过适应最近在OntoNotes基准上改进的神经模型来获得，使其适用于该任务的其他范例。我们报告了我们的系统在ANCOR上的表现，ANCOR是一个转录法语口语语料库，它构成了一个新的基线，并进行了适当的评估。

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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.

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Proceedings of the Second Workshop on Computational Models of Reference, Anaphora and Coreference

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