Details zu Publikationen

Visual Analysis of Argumentation in Essays

verfasst von
Dora Kiesel, Patrick Riehmann, Henning Wachsmuth, Benno Stein, Bernd Froehlich
Abstract

This paper presents a visual analytics system for exploring, analyzing and comparing argument structures in essay corpora. We provide an overview of the corpus by a list of ArguLines which represent the argument units of each essay by a sequence of glyphs. Each glyph encodes the stance, the depth and the relative position of an argument unit. The overview can be ordered in various ways to reveal patterns and outliers. Subsets of essays can be selected and analyzed in detail using the Argument Unit Occurrence Tree which aggregates the argument structures using hierarchical histograms. This hierarchical view facilitates the estimation of statistics and trends concerning the progression of the argumentation in the essays. It also provides insights into the commonalities and differences between selected subsets. The text view is the necessary textual basis to verify conclusions from the other views and the annotation process. Linking the views and interaction techniques for visual filtering, studying the evolution of stance within a subset of essays and scrutinizing the order of argumentative units enable a deep analysis of essay corpora. Our expert reviews confirmed the utility of the system and revealed detailed and previously unknown information about the argumentation in our sample corpus.

Externe Organisation(en)
Bauhaus-Universität Weimar
Universität Paderborn
Typ
Artikel
Journal
IEEE Transactions on Visualization and Computer Graphics
Band
27
Seiten
1139-1148
Anzahl der Seiten
10
ISSN
1077-2626
Publikationsdatum
15.02.2021
Publikationsstatus
Veröffentlicht
Peer-reviewed
Ja
ASJC Scopus Sachgebiete
Software, Signalverarbeitung, Maschinelles Sehen und Mustererkennung, Computergrafik und computergestütztes Design
Elektronische Version(en)
https://doi.org/10.1109/TVCG.2020.3030425 (Zugang: Geschlossen)