Classification and clustering of arguments with contextualized word embeddings N Reimers, B Schiller, T Beck, J Daxenberger, C Stab, I Gurevych arXiv preprint arXiv:1906.09821, 2019 | 222 | 2019 |
Neural End-to-End Learning for Computational Argumentation Mining S Eger, J Daxenberger, I Gurevych Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 217 | 2017 |
Augmented SBERT: Data augmentation method for improving bi-encoders for pairwise sentence scoring tasks N Thakur, N Reimers, J Daxenberger, I Gurevych arXiv preprint arXiv:2010.08240, 2020 | 201 | 2020 |
Argumentext: Searching for arguments in heterogeneous sources C Stab, J Daxenberger, C Stahlhut, T Miller, B Schiller, C Tauchmann, ... Proceedings of the 2018 conference of the North American chapter of the …, 2018 | 123 | 2018 |
What is the Essence of a Claim? Cross-Domain Claim Identification J Daxenberger, S Eger, I Habernal, C Stab, I Gurevych Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 119 | 2017 |
Turbulent stability of emergent roles: The dualistic nature of self-organizing knowledge coproduction O Arazy, J Daxenberger, H Lifshitz-Assaf, O Nov, I Gurevych Information Systems Research 27 (4), 792-812, 2016 | 118 | 2016 |
Stance detection benchmark: How robust is your stance detection? B Schiller, J Daxenberger, I Gurevych KI-Künstliche Intelligenz, 1-13, 2021 | 91 | 2021 |
Multi-Task Learning for Argumentation Mining in Low-Resource Settings C Schulz, S Eger, J Daxenberger, T Kahse, I Gurevych Proceedings of the 16th Annual Conference of the North American Chapter of …, 2018 | 82 | 2018 |
Automatically Classifying Edit Categories in Wikipedia Revisions J Daxenberger, I Gurevych Conference on Empirical Methods in Natural Language Processing (EMNLP 2013), 2013 | 79 | 2013 |
Aspect-controlled neural argument generation B Schiller, J Daxenberger, I Gurevych arXiv preprint arXiv:2005.00084, 2020 | 65 | 2020 |
DKPro TC: A Java-based Framework for Supervised Learning Experiments on Textual Data J Daxenberger, O Ferschke, I Gurevych, T Zesch Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 64 | 2014 |
A Corpus-Based Study of Edit Categories in Featured and Non-Featured Wikipedia Articles J Daxenberger, I Gurevych 24th International Conference on Computational Linguistics (COLING), 2012 | 64 | 2012 |
Fine-grained argument unit recognition and classification D Trautmann, J Daxenberger, C Stab, H Schütze, I Gurevych Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 9048-9056, 2020 | 61 | 2020 |
Cross-lingual argumentation mining: Machine translation (and a bit of projection) is all you need! S Eger, J Daxenberger, C Stab, I Gurevych arXiv preprint arXiv:1807.08998, 2018 | 60 | 2018 |
On the “How” and “Why” of Emergent Role Behaviors in Wikipedia O Arazy, H Lifshitz-Assaf, O Nov, J Daxenberger, M Balestra, C Cheshire Conference on Computer-Supported Cooperative Work and Social Computing, 2017 | 59 | 2017 |
A Survey of NLP Methods and Resources for Analyzing the Collaborative Writing Process in Wikipedia O Ferschke, J Daxenberger, I Gurevych | 31 | 2013 |
Argumentext: argument classification and clustering in a generalized search scenario J Daxenberger, B Schiller, C Stahlhut, E Kaiser, I Gurevych Datenbank-Spektrum 20 (2), 115-121, 2020 | 28 | 2020 |
Evaluation of argument search approaches in the context of argumentative dialogue systems N Rach, Y Matsuda, J Daxenberger, S Ultes, K Yasumoto, W Minker Proceedings of the Twelfth Language Resources and Evaluation Conference, 513-522, 2020 | 12 | 2020 |
Developing automated measures to predict incivility in public online discussions on the facebook sites of established news media M Ziegele, J Daxenberger, O Quiring, I Gurevych Proceedings of the 68th Annual Conference of the International Communication …, 2018 | 11 | 2018 |
UKP TU-DA at GermEval 2017: Deep learning for aspect based sentiment detection JU Lee, S Eger, J Daxenberger, I Gurevych Proceedings of the GSCL GermEval Shared Task on Aspect-based Sentiment in …, 2017 | 11 | 2017 |