同理心对话作为同理心参与语料库的批判性分析

Alok Debnath, Owen Conlan
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摘要

本文旨在分析当代最流行的移情会话代理训练语料库之一的内容和相关性:EmpatheticDialogues[23]。我们对语料库进行了详细的定性分析,包括语料库创建方法,并指出了语料库的一些关键缺点。鉴于该语料库是目前同类语料库中唯一的语料库,我们还提供了EmpatheticDialogues与其他当代闲聊语料库(包括DailyDialog和Persona-Chat)的定量比较,包括会话长度,熟悉互动比例,词汇选择等。通过这一分析,我们讨论了表明特定的闲聊对话语料库比其他闲聊语料库更具共情性的优点和意义。最后,我们通过增加现有的对话数据集,为开发具有共情参与能力的对话代理提供了一个新的视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Critical Analysis of EmpatheticDialogues as a Corpus for Empathetic Engagement
This paper aims to analyze the content and relevance of one of the most popular contemporary training corpora for empathetic conversational agents: EmpatheticDialogues [23]. We provide a detailed qualitative breakdown of the corpus including the corpus creation methodology and point out some critical shortcomings of the corpus. Given the significance of the corpus as the only one of its kind at the moment, we also provide a quantitative comparison of EmpatheticDialogues to other contemporary small-talk corpora including DailyDialog and Persona-Chat, including conversation length, the ratio of conversant interaction, lexical choice, etc. With this analysis, we discuss the merit and implications of indicating a specific small-talk dialogue corpus is more empathetic than other small-talk corpora. Finally, we provide a new lens for developing conversational agents with empathetic engagement capabilities by augmenting existing dialogue datasets.
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