【推荐理由】本文提出了关于自然语言处理（NLP）领域中自然语言推理的概念和实践上更清晰的视角。
Nature Language Reasoning, A Survey
FEI YU, HONGBO ZHANG, BENYOU WANG
[The Chinese University of Hong Kong]
【论文链接】https://arxiv.org/pdf/2303.14725.pdf
【项目链接】https://github.com/FreedomIntelligence/ReasoningNLP
【摘要】这篇调查论文提出了关于自然语言处理（NLP）领域中自然语言推理的概念和实践上更清晰的视角。在概念上，作者基于哲学和NLP场景提出了自然语言推理的明确定义，讨论了哪些类型的任务需要推理，并介绍了推理的分类法。在实践方面，文章进行了全面的文献综述，主要涵盖经典逻辑推理、自然语言推理、多步问答和常识推理等内容。本文还将目光投向了向后推理，这是一种强大的多步推理范式，并将可驳斥推理引入自然语言推理研究中作为最重要的未来方向之一。本文着重关注单模态非结构化自然语言文本，不包括神经符号技术和数学推理。
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