How Intuitive Is It? Comparing Metrics for Attitudes in Argumentation with a Human Baseline

Author:

Brenneis Markus,Mauve Martin

Publisher

Springer International Publishing

Reference20 articles.

1. Bernstein, A., Kaufmann, E., Bürki, C., Klein, M.: How similar is it? Towards personalized similarity measures in ontologies. In: Ferstl, O.K., Sinz, E.J., Eckert, S., Isselhorst, T. (eds.) Wirtschaftsinformatik 2005, pp. 1347–1366. Springer, Heidelberg (2005)

2. Bhavsar, V.C., Boley, H., Yang, L.: A weighted-tree similarity algorithm for multi-agent systems in e-business environments. Comput. Intell. 20(4), 584–602 (2004)

3. Brenneis, M., Behrendt, M., Harmeling, S., Mauve, M.: How much do I argue like you? Towards a metric on weighted argumentation graphs. In: CEUR Workshop Proceedings of the Third International Workshop on Systems and Algorithms for Formal Argumentation (SAFA 2020), pp. 2–13, No. 2672 in CEUR Workshop Proceedings, Aachen, September 2020

4. Brenneis, M., Mauve, M.: deliberate - online argumentation with collaborative filtering. In: Computational Models of Argument, vol. 326, pp. 453–454. IOS Press, September 2020. https://doi.org/10.3233/FAIA200530

5. Brenneis, M., Mauve, M.: Do I argue like them? A human baseline for comparing attitudes in argumentations. In: CEUR Workshop Proceedings of the Workshop on Advances in Argumentation in Artificial Intelligence 2020, vol. 2777, pp. 1–15, Aachen, November 2020

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