| Building an argument search engine for the web H Wachsmuth, M Potthast, K Al Khatib, Y Ajjour, J Puschmann, J Qu, ... Proceedings of the 4th Workshop on Argument Mining, 49-59, 2017 | 202 | 2017 |
| Using argument mining to assess the argumentation quality of essays H Wachsmuth, K Al Khatib, B Stein Proceedings of COLING 2016, the 26th international conference on …, 2016 | 126 | 2016 |
| A news editorial corpus for mining argumentation strategies K Al Khatib, H Wachsmuth, J Kiesel, M Hagen, B Stein Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 107 | 2016 |
| Cross-domain mining of argumentative text through distant supervision K Al Khatib, H Wachsmuth, M Hagen, J Köhler, B Stein Proceedings of the 2016 conference of the north american chapter of the …, 2016 | 76 | 2016 |
| Learning to flip the bias of news headlines WF Chen, H Wachsmuth, K Al Khatib, B Stein Proceedings of the 11th International conference on natural language …, 2018 | 74 | 2018 |
| Argumentation synthesis following rhetorical strategies H Wachsmuth, M Stede, R El Baff, K Al Khatib, M Skeppstedt, B Stein Proceedings of the 27th International Conference on Computational …, 2018 | 67 | 2018 |
| Analyzing the persuasive effect of style in news editorial argumentation R El Baff, H Wachsmuth, K Al Khatib, B Stein Association for Computational Linguistics, 2020 | 64 | 2020 |
| Analyzing political bias and unfairness in news articles at different levels of granularity WF Chen, K Al-Khatib, H Wachsmuth, B Stein arXiv preprint arXiv:2010.10652, 2020 | 61 | 2020 |
| End-to-end argumentation knowledge graph construction K Al-Khatib, Y Hou, H Wachsmuth, C Jochim, F Bonin, B Stein Proceedings of the AAAI conference on artificial intelligence 34 (05), 7367-7374, 2020 | 61 | 2020 |
| Patterns of argumentation strategies across topics K Al Khatib, H Wachsmuth, M Hagen, B Stein Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 55 | 2017 |
| Detecting media bias in news articles using gaussian bias distributions WF Chen, K Al-Khatib, B Stein, H Wachsmuth arXiv preprint arXiv:2010.10649, 2020 | 44 | 2020 |
| Exploiting personal characteristics of debaters for predicting persuasiveness K Al Khatib, M Völske, S Syed, N Kolyada, B Stein Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 44 | 2020 |
| Computational argumentation synthesis as a language modeling task R El Baff, H Wachsmuth, K Al Khatib, M Stede, B Stein Proceedings of the 12th International Conference on Natural Language …, 2019 | 41 | 2019 |
| Automatic extraction of arabic multi-word terms K Al Khatib, A Badarneh Proceedings of the International Multiconference on Computer Science and …, 2010 | 33 | 2010 |
| Employing argumentation knowledge graphs for neural argument generation K Al Khatib, L Trautner, H Wachsmuth, Y Hou, B Stein Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 31 | 2021 |
| Challenge or empower: Revisiting argumentation quality in a news editorial corpus R El Baff, H Wachsmuth, K Al Khatib, B Stein Proceedings of the 22nd Conference on Computational Natural Language …, 2018 | 30 | 2018 |
| Automatic detection of point of view differences in wikipedia K Al Khatib, H Schütze, C Kantner Proceedings of COLING 2012, 33-50, 2012 | 25 | 2012 |
| Argument mining for scholarly document processing: Taking stock and looking ahead K Al Khatib, T Ghosal, Y Hou, A de Waard, D Freitag Proceedings of the Second Workshop on Scholarly Document Processing, 56-65, 2021 | 22 | 2021 |
| A shared task on argumentation mining in newspaper editorials J Kiesel, K Al Khatib, M Hagen, B Stein Proceedings of the 2nd Workshop on Argumentation Mining, 35-38, 2015 | 20 | 2015 |
| Generating informative conclusions for argumentative texts S Syed, K Al-Khatib, M Alshomary, H Wachsmuth, M Potthast arXiv preprint arXiv:2106.01064, 2021 | 19 | 2021 |
Benno SteinProfessor for Computer Science, Bauhaus-Universität WeimarVerified email at uni-weimar.de
