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A French Medical Conversations Corpus Annotated for a Virtual Patient Dialogue System

机译:用于虚拟患者对话系统的法语医疗对话语料库

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Data-driven approaches for creating virtual patient dialogue systems require the availability of large data specific to the language, domain and clinical cases studied. Based on the lack of dialogue corpora in French for medical education, we propose an annotated corpus of dialogues including medical consultation interactions between doctor and patient. In this work, we detail the building process of the proposed dialogue corpus, describe the annotation guidelines and also present the statistics of its contents. We then conducted a question categorization task to evaluate the benefits of the proposed corpus that is made publicly available.
机译:用于创建虚拟患者对话系统的数据驱动方法需要在研究的语言,域和临床案件中特定的大数据的可用性。基于法国医学教育的缺乏对话集团,我们提出了一项对话的注释语料库,包括医生与患者之间的医疗咨询相互作用。在这项工作中,我们详细介绍了建议对话语料库的建设过程,描述了注释指南,并呈现其内容的统计数据。然后,我们进行了一个问题分类任务,以评估拟议的语料库的福利,该拟议语料库被公开可用。

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