From Argumentation to Deliberation: Perspectivized Stance Vectors for Fine-grained (Dis)agreement Analysis
Moritz Plenz, Philipp Heinisch, Janosch Gehring, Philipp Cimiano,, Anette Frank

TL;DR
This paper introduces Perspectivized Stance Vectors, a novel framework for analyzing arguments in debates by capturing individual perspectives, enabling the identification of shared views and actionable conflict resolution points.
Contribution
It formalizes a new method for fine-grained perspective analysis in argumentation, bridging argument content and underlying attitudes for conflict resolution.
Findings
Developed Perspectivized Stance Vectors for argument analysis
Enabled measurement of structured (dis)agreement based on perspectives
Facilitated identification of shared and opposing viewpoints
Abstract
Debating over conflicting issues is a necessary first step towards resolving conflicts. However, intrinsic perspectives of an arguer are difficult to overcome by persuasive argumentation skills. Proceeding from a debate to a deliberative process, where we can identify actionable options for resolving a conflict requires a deeper analysis of arguments and the perspectives they are grounded in - as it is only from there that one can derive mutually agreeable resolution steps. In this work we develop a framework for a deliberative analysis of arguments in a computational argumentation setup. We conduct a fine-grained analysis of perspectivized stances expressed in the arguments of different arguers or stakeholders on a given issue, aiming not only to identify their opposing views, but also shared perspectives arising from their attitudes, values or needs. We formalize this analysis in…
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Taxonomy
TopicsSpeech and dialogue systems · Natural Language Processing Techniques · Logic, Reasoning, and Knowledge
