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In this article, we present a novel approach for parsing argumentation structures. We identify argument components using sequence labeling at the token level and apply a new joint model for detecting… Continue Reading
In this paper, we present a novel approach for identifying argumentative discourse structures in persuasive essays. The structure of argumentation consists of several components (i.e. claims and… Continue Reading
In this paper, we present a novel approach to model arguments, their components and relations in persuasive essays in English. We propose an annotation scheme that includes the annotation of claims… Continue Reading
Persuasive essay writing is a powerful pedagogical tool for teaching argumentation skills. So far, the provision of feedback about argumentation has been considered a manual task since automated… Continue Reading
Argument mining has become a popular research area in NLP. It typically includes the identification of argumentative components, e.g. claims, as the central component of an argument. We perform a… Continue Reading
Argument mining is a core technology for automating argument search in large document collections. Despite its usefulness for this task, most current approaches to argument mining are designed for… Continue Reading
In this paper, we introduce a novel Java implementation of multiple inter-rater agreement measures, which we make available as open-source software. Besides assessing the reliability of coding tasks… Continue Reading
Argument mining is a core technology for automating argument search in large document collections. Despite its usefulness for this task, most current approaches are designed for use only with… Continue Reading
In this paper, we investigate the relationship between argumentation structures and (a) argument content, and (b) the holistic quality of an argumentative essay. Our results suggest that… Continue Reading
Argument mining is a core technology for enabling argument search in large corpora. However, most current approaches fall short when applied to heterogeneous texts. In this paper, we present an… Continue Reading