论文标题
法语的口语处方数据集用于口语理解
A Spoken Drug Prescription Dataset in French for Spoken Language Understanding
论文作者
论文摘要
口语医学对话系统越来越引起人们的兴趣,以增强获得医疗服务的机会并提高患者护理的质量和可追溯性。在本文中,我们专注于通过口语对话在智能手机上获得的医疗药物处方。这样的系统将促进护理的可追溯性,并可以释放临床医生的时间。但是,由于大多数相关语料库都是文本形式和英语,因此缺乏讲话语料库来开发此类系统。为了促进口头医学对话系统的研究和开发,我们据我们所知,我们介绍了第一个名为PXSLU的口语医学药物处方语料库。它包含与55名参与者专家的实验获得的法国药物处方的4个小时和注释的对话,并在处方中进行了非专家。我们还提供了一些实验,这些实验证明了该语料库对医学对话系统的评估和开发的兴趣。
Spoken medical dialogue systems are increasingly attracting interest to enhance access to healthcare services and improve quality and traceability of patient care. In this paper, we focus on medical drug prescriptions acquired on smartphones through spoken dialogue. Such systems would facilitate the traceability of care and would free clinicians' time. However, there is a lack of speech corpora to develop such systems since most of the related corpora are in text form and in English. To facilitate the research and development of spoken medical dialogue systems, we present, to the best of our knowledge, the first spoken medical drug prescriptions corpus, named PxSLU. It contains 4 hours of transcribed and annotated dialogues of drug prescriptions in French acquired through an experiment with 55 participants experts and non-experts in prescriptions. We also present some experiments that demonstrate the interest of this corpus for the evaluation and development of medical dialogue systems.