Argument schemes are abstractions substantiating the inferential connection between premise(s) and conclusion in argumentative communication. Identifying such conventional patterns of reasoning is essential to the interpretation and evaluation of argumentation. Whether studying argumentation from a theory-driven or data-driven perspective, insight into the actual use of argumentation in communicative practice is essential. Large and reliably annotated corpora of argumentative discourse to quantitatively provide such insight are few and far between. This is all the more true for argument scheme corpora, which tend to suffer from a combination of limited size, poor validation, and the use of ad hoc restricted typologies. In the current paper, we describe the annotation of schemes on the basis of two distinct classifications: Walton’s taxonomy of argument schemes, and Wagemans’ Periodic Table of Arguments. We describe the annotation procedure for each, and the quantitative characteristics of the resulting annotated text corpora. In doing so, we extend the annotation of the preexisting US2016 corpus of televised election debates, resulting in, to the best of our knowledge, the two largest consistently annotated corpora of schemes in argumentative dialogue publicly available. Based on evaluation in terms of inter-annotator agreement, we propose further improvements to the guidelines for annotating schemes: the argument scheme key, and the Argument Type Identification Procedure.

中文翻译：

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注释参数方案

论证方案是抽象的，证实了论证交流中前提和结论之间的推理联系。识别这种传统的推理模式对于论证的解释和评估至关重要。无论是从理论驱动还是数据驱动的角度研究论证，深入了解论证在交际实践中的实际应用都是必不可少的。能够定量提供这种洞察力的大型且可靠的注释语料库很少。对于参数方案语料库来说更是如此，它往往会受到大小有限、验证不佳和使用临时受限类型的组合的影响。在当前的论文中，我们根据两种不同的分类来描述方案的注释：Walton 的论证方案分类法和 Wagemans 的论证周期表。我们描述了每个注释的过程，以及生成的注释文本语料库的定量特征。在这样做的过程中，我们扩展了先前存在的 US2016 电视选举辩论语料库的注释，据我们所知，导致公开可用的辩论对话中最大的两个一致注释的方案语料库。基于对注释者间一致性的评估，我们提出了对注释方案指南的进一步改进：参数方案键和参数类型识别程序。我们扩展了先前存在的 US2016 电视选举辩论语料库的注释，据我们所知，导致公开可用的辩论对话中最大的两个一致注释的计划语料库。基于对注释者间一致性的评估，我们提出了对注释方案指南的进一步改进：参数方案键和参数类型识别程序。我们扩展了先前存在的 US2016 电视选举辩论语料库的注释，据我们所知，结果是公开提供的两个最大的一致注释的辩论性对话方案语料库。基于对注释者间一致性的评估，我们提出了对注释方案指南的进一步改进：参数方案键和参数类型识别程序。