XNLP: A Living Survey for XAI Research in Natural Language Processing

Kun Qian, Marina Danilevsky, Yannis Katsis, B. Kawas, Erick Oduor, Lucian Popa, Yunyao Li
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引用次数: 15

Abstract

We present XNLP: an interactive browser-based system embodying a living survey of recent state-of-the-art research in the field of Explainable AI (XAI) within the domain of Natural Language Processing (NLP). The system visually organizes and illustrates XAI-NLP publications and distills their content to allow users to gain insights, generate ideas, and explore the field. We hope that XNLP can become a leading demonstrative example of a living survey, balancing the depth and quality of a traditional well-constructed survey paper with the collaborative dynamism of a widely available interactive tool. XNLP can be accessed at: https://xainlp2020.github.io/xainlp.
XNLP:自然语言处理中XAI研究的活综述
我们提出了XNLP:一个基于浏览器的交互式系统,体现了自然语言处理(NLP)领域内可解释人工智能(XAI)领域最新研究的动态调查。该系统可视化地组织和说明了XAI-NLP出版物,并提取了其内容,以允许用户获得见解,产生想法和探索该领域。我们希望XNLP能够成为一个活生生的调查的主要示范示例,在传统的构造良好的调查论文的深度和质量与广泛可用的交互式工具的协作动态之间取得平衡。可以通过https://xainlp2020.github.io/xainlp访问XNLP。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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