In the last decade, the problem of computational metaphor processing has garnered immense attention from the domains of computational linguistics and cognition. A wide panorama of approaches, ranging from a hand-coded rule system to deep learning techniques, have been proposed to automate different aspects of metaphor processing. In this article, we systematically examine the major theoretical views on metaphor and present their classification. We discuss the existing literature to provide a concise yet representative picture of computational metaphor processing. We conclude the article with possible research directions.

中文翻译：

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计算隐喻处理综述

在过去的十年中，计算隐喻处理问题引起了计算语言学和认知领域的极大关注。已经提出了从手动编码规则系统到深度学习技术的广泛方法，以自动化隐喻处理的不同方面。在本文中，我们系统地考察了隐喻的主要理论观点并提出了它们的分类。我们讨论现有文献以提供计算隐喻处理的简明而有代表性的图景。我们以可能的研究方向结束本文。