Publikation
Towards an Argument Mining Pipeline Transforming Texts to Argument Graphs
Mirko Lenz; Premtim Sahitaj; Sean Kallenberg; Christopher Coors; Lorik Dumani; Ralf Schenkel; Ralph Bergmann
In: Computational Models of Argument. International Conference on Computational Models of Argument (COMMA-2020), September 4-11, Virtual Event, Pages 263-270, Frontiers in Artificial Intelligence and Applications, Vol. 326, ISBN 978-1-64368-106-1 (print) | 978-1-64368-107-8 (online), IOS Press, 2020.
Zusammenfassung
This paper tackles the automated extraction of components of argumentative information and their relations from natural language text. Moreover, we address a current lack of systems to provide a complete argumentative structure from arbitrary natural language text for general usage. We present an argument mining pipeline as a universally applicable approach for transforming German and English language texts to graph-based argument representations. We also introduce new methods for evaluating the performance based on existing benchmark argument structures. Our results show that the generated argument graphs can be beneficial to detect new connections between different statements of an argumentative text.