Modeling Deliberative Argumentation Strategies on Wikipedia

verfasst von

Khalid Al-Khatib, Henning Wachsmuth, Kevin Lang, Jakob Herpel, Matthias Hagen, Benno Stein

Abstract

This paper studies how the argumentation strategies of participants in deliberative discussions can be supported computationally. Our ultimate goal is to predict the best next deliberative move of each participant. In this paper, we present a model for deliberative discussions and we illustrate its operationalization. Previous models have been built manually based on a small set of discussions, resulting in a level of abstraction that is not suitable for move recommendation. In contrast, we derive our model statistically from several types of metadata that can be used for move description. Applied to six million discussions from Wikipedia talk pages, our approach results in a model with 13 categories along three dimensions: discourse acts, argumentative relations, and frames. On this basis, we automatically generate a corpus with about 200,000 turns, labeled for the 13 categories. We then operationalize the model with three supervised classifiers and provide evidence that the proposed categories can be predicted.

Externe Organisation(en)

Bauhaus-Universität Weimar
Universität Paderborn
Martin-Luther-Universität Halle-Wittenberg

Typ

Aufsatz in Konferenzband

Seiten

2545-2555

Anzahl der Seiten

11

Publikationsdatum

07.2018

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Software, Theoretische Informatik und Mathematik

Elektronische Version(en)

https://doi.org/10.18653/v1/p18-1237 (Zugang: Offen)