A News Editorial Corpus for Mining Argumentation Strategies

verfasst von

Khalid Al-Khatib, Henning Wachsmuth, Johannes Kiesel, Matthias Hagen, Benno Stein

Abstract

Many argumentative texts, and news editorials in particular, follow a specific strategy to persuade their readers of some opinion or attitude. This includes decisions such as when to tell an anecdote or where to support an assumption with statistics, which is reflected by the composition of different types of argumentative discourse units in a text. While several argument mining corpora have recently been published, they do not allow the study of argumentation strategies due to incomplete or coarse-grained unit annotations. This paper presents a novel corpus with 300 editorials from three diverse news portals that provides the basis for mining argumentation strategies. Each unit in all editorials has been assigned one of six types by three annotators with a high Fleiss' K agreement of 0.56. We investigate various challenges of the annotation process and we conduct a first corpus analysis. Our results reveal different strategies across the news portals, exemplifying the benefit of studying editorials-a so far underresourced text genre in argument mining.

Externe Organisation(en)

Bauhaus-Universität Weimar

Typ

Aufsatz in Konferenzband

Seiten

3433-3443

Anzahl der Seiten

11

Publikationsdatum

12.2016

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Theoretische Informatik und Mathematik, Sprache und Linguistik, Linguistik und Sprache

Elektronische Version(en)

https://aclanthology.org/C16-1324/ (Zugang: Offen)