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From Argument Diagrams to Argumentation Mining in Texts:A Survey

机译:从参数图到文本中的参数挖掘:一项调查

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In this paper, the authors consider argument mining as the task of building a formal representation for an argumentative piece of text. Their goal is to provide a critical survey of the literature on both the resulting representations (i.e., argument diagramming techniques) and on the various aspects of the automatic analysis process. For representation, the authors also provide a synthesized proposal of a scheme that combines advantages from several of the earlier approaches; in addition, the authors discuss the relationship between representing argument structure and the rhetorical structure of texts in the sense of Mann and Thompsons (1988) RST. Then, for the argument mining problem, the authors also cover the literature on closely-related tasks that have been tackled in Computational Linguistics, because they think that these can contribute to more powerful argument mining systems than the first prototypes that were built in recent years.The paper concludes with the authors' suggestions for the major challenges that should be addressed in the field of argument mining.
机译:在本文中,作者将论点挖掘视为为有争议的文本构建形式表示的任务。他们的目标是对所得到的表示形式(即论据图解技术)以及自动分析过程的各个方面进行文献的重要调查。为了表示,作者还提供了一种方案的综合提案,该方案结合了几种较早方法的优点。此外,作者还讨论了从Mann和Thompsons(1988)RST的意义上来说,代表论点结构和文本修辞结构之间的关系。然后,对于论点挖掘问题,作者还涵盖了计算语言学中已解决的与紧密相关的任务有关的文献,因为他们认为,与最近几年构建的第一个原型相比,它们可以为更强大的论点挖掘系统做出贡献最后,作者提出了关于论点挖掘领域应解决的主要挑战的建议。

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