论文标题

对同理心和自然语言处理的批判性思考和前瞻性观点

A Critical Reflection and Forward Perspective on Empathy and Natural Language Processing

论文作者

Lahnala, Allison, Welch, Charles, Jurgens, David, Flek, Lucie

论文摘要

我们回顾了自然语言处理中同理心的研究状态,并确定以下问题:(1)没有移情定义或抽象,(2)导致构造有效性和可重复性较低。此外,(3)过分强调情感同理心,将我们的重点倾向于简化任务的狭窄子集。我们认为这些问题阻碍了研究的进步,并认为当前的方向将受益于清晰的概念化,其中包括操作认知同理心成分。我们的主要目标是为NLP研究目标提供有关移情概念化的见解和指导,并鼓励研究人员寻求该领域的被忽视的机会,例如临床和教育部门。

We review the state of research on empathy in natural language processing and identify the following issues: (1) empathy definitions are absent or abstract, which (2) leads to low construct validity and reproducibility. Moreover, (3) emotional empathy is overemphasized, skewing our focus to a narrow subset of simplified tasks. We believe these issues hinder research progress and argue that current directions will benefit from a clear conceptualization that includes operationalizing cognitive empathy components. Our main objectives are to provide insight and guidance on empathy conceptualization for NLP research objectives and to encourage researchers to pursue the overlooked opportunities in this area, highly relevant, e.g., for clinical and educational sectors.

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