Argumentative relation classification for argumentative dialogue systems

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Erstveröffentlichung
2020-12-01
Abschlussarbeit (Bachelor)
Authors
Schindler, Carolin
Referee
Minker, WolfgangWesner, Stefan
Faculties
Fakultät für Ingenieurwissenschaften, Informatik und PsychologieInstitutions
Institut für NachrichtentechnikInstitut für Organisation und Management von Informationssystemen
Abstract
Yet, many argumentative dialogue systems are capable of talking about a limited set of specific topics. In the herein presented work, we retrieve arguments from an argument search engine regarding any topic and organize them automatically in an argumentation structure that can serve as a database for such systems. In order to structure the arguments, we utilize methods from the field of argument mining and propose different approaches for each step. Our main contribution is the implementation of an argumentative relation classification pipeline that queries the argument search engine for arguments regarding a specific topic, performs argumentative relation classification and outputs the resulting structure. It is evaluated in an annotation study with a new combination of annotation guidelines. The carried out study yields promising results for the quality of the generated argumentation structure.
Date created
2020
Subject Headings
Dialogsystem [GND]User interfaces (Computer systems) [LCSH]
Artificial intelligence [LCSH]
Keywords
Argumentative dialogue system; Argumentative relation classification; Argumentation structure; Argument mining; Argument searchDewey Decimal Group
DDC 004 / Data processing & computer scienceMetadata
Show full item recordCitation example
Schindler, Carolin (2020): Argumentative relation classification for argumentative dialogue systems. Open Access Repositorium der Universität Ulm. http://dx.doi.org/10.18725/OPARU-33911
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