Using Argument Mining to Assess the Argumentation Quality of Essays

verfasst von

Henning Wachsmuth, Khalid Al-Khatib, Benno Stein

Abstract

Argument mining aims to determine the argumentative structure of texts. Although it is said to be crucial for future applications such as writing support systems, the benefit of its output has rarely been evaluated. This paper puts the analysis of the output into the focus. In particular, we investigate to what extent the mined structure can be leveraged to assess the argumentation quality of persuasive essays. We find insightful statistical patterns in the structure of essays. From these, we derive novel features that we evaluate in four argumentation-related essay scoring tasks. Our results reveal the benefit of argument mining for assessing argumentation quality. Among others, we improve the state of the art in scoring an essay's organization and its argument strength.

Externe Organisation(en)

Bauhaus-Universität Weimar

Typ

Aufsatz in Konferenzband

Seiten

1680-1691

Anzahl der Seiten

12

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/C16-1158 (Zugang: Offen)