Natural language processing (NLP) aims at investigating the interactions between agents and humans, processing and analyzing large amounts of natural language data. Large-scale language models play an important role in current natural language processing. However, the challenges of explainability and complexity come along with the developments of language models. One way is to introduce logical relations and rules into natural language processing models, such as making use of Automated Planning. Automated planning (AI planning) focuses on building symbolic domain models and synthesizing plans to transit initial states to goals based on domain models. Recently, there have been plenty of works related to these two fields, which have the abilities to generate explicit knowledge, e.g., preconditions and effects of action models, and learn from tacit knowledge, e.g., neural models, respectively. Integrating AI planning and natural language processing effectively improves the communication between human and intelligent agents. This paper outlines the commons and relations between AI planning and natural language processing, argues that each of them can effectively impact on the other one by five areas: (1) planning-based text understanding, (2) planning-based natural language processing, (3) planning-based explainability, (4) text-based human-robot interaction, and (5) applications. We also explore some potential future issues between AI planning and natural language processing. To the best of our knowledge, this survey is the first work that addresses the deep connections between AI planning and Natural language processing.

翻译：自然语言处理（NLP）旨在研究智能体与人类之间的交互，处理并分析大规模自然语言数据。大规模语言模型在当前自然语言处理中扮演着重要角色。然而，随着语言模型的发展，可解释性和复杂性问题也随之而来。一种解决途径是将逻辑关系与规则引入自然语言处理模型，例如利用自动规划技术。自动规划（AI规划）专注于构建符号领域模型，并基于领域模型综合出将初始状态转换至目标状态的规划方案。近期，这两个领域涌现出大量相关工作，这些工作分别具有生成显性知识（如动作模型的前置条件和效果）以及从隐性知识（如神经模型）中学习的能力。集成AI规划与自然语言处理可有效提升人类与智能体之间的通信效率。本文概述了AI规划与自然语言处理的共性与关联，论证了两者可通过以下五个领域相互产生显著影响：（1）基于规划的文本理解，（2）基于规划的自然语言处理，（3）基于规划的可解释性，（4）基于文本的人机交互，以及（5）应用场景。我们还探讨了AI规划与自然语言处理之间未来可能的研究方向。据我们所知，本综述是首个深入探讨AI规划与自然语言处理之间深层联系的工作。