Unsupervised stance detection for arguments from consequences J Kobbe, I Hulpuș, H Stuckenschmidt Proceedings of the 2020 conference on empirical methods in natural language …, 2020 | 34 | 2020 |
Exploring morality in argumentation J Kobbe, I Rehbein, I Hulpus, H Stuckenschmidt Association for Computational Linguistics, ACL, 2020 | 31 | 2020 |
Argumentative relation classification with background knowledge D Paul, J Opitz, M Becker, J Kobbe, G Hirst, A Frank Computational Models of Argument, 319-330, 2020 | 27 | 2020 |
Exploiting background knowledge for argumentative relation classification J Kobbe, J Opitz, M Becker, I Hulpuş, H Stuckenschmidt, A Frank 2nd Conference on Language, Data and Knowledge (LDK 2019), 2019 | 26 | 2019 |
Towards Explaining Natural Language Arguments with Background Knowledge. I Hulpus, J Kobbe, C Meilicke, H Stuckenschmidt, M Becker, J Opitz, ... PROFILES/SEMEX@ ISWC, 62-77, 2019 | 19 | 2019 |
Explaining arguments with background knowledge: Towards knowledge-based argumentation analysis M Becker, I Hulpuş, J Opitz, D Paul, J Kobbe, H Stuckenschmidt, A Frank Datenbank-Spektrum 20, 131-141, 2020 | 16 | 2020 |
Knowledge graphs meet moral values I Hulpuș, J Kobbe, H Stuckenschmidt, G Hirst Proceedings of the Ninth Joint Conference on Lexical and Computational …, 2020 | 15 | 2020 |
Effect graph: Effect relation extraction for explanation generation J Kobbe, I Hulpuș, H Stuckenschmidt Proceedings of the 1st Workshop on Natural Language Reasoning and Structured …, 2023 | 1 | 2023 |
Debatepedia: Claims of the arguments paired to the title question J Kobbe | 1 | 2019 |
Automatic generation of structured explanations for arguments from consequences J Kobbe | | 2023 |