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Argumentation mining: the detection, classification and structure of arguments in text

机译:自变量挖掘:文本中自变量的检测,分类和结构

摘要

Argumentation is the process by which arguments are constructed and handled. Argumentation constitutes a major component of human intelligence. The ability to engage in argumentation is essential for humans to understand new problems, to perform scientific reasoning, to express, to clarify and to defend their opinions in their daily lives. Argumentation mining aims to detect the arguments presented in a text document, the relations between them and the internal structure of each individual argument. In this paper we analyse the main research questions when dealing with argumentation mining and the different methods we have studied and developed in order to successfully confront the challenges of argumentation mining in legal texts.
机译:论证是构建和处理论据的过程。论证是人类智力的主要组成部分。进行辩论的能力对于人类理解新问题,进行科学推理,表达,澄清和捍卫他们在日常生活中的观点至关重要。自变量挖掘的目的是检测文本文档中出现的自变量,它们之间的关系以及每个自变量的内部结构。在本文中,我们分析了处理论证挖掘时的主要研究问题以及为了成功应对法律文本中论证挖掘的挑战而研究和开发的不同方法。

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