Fine-Grained Argument Unit Recognition and Classification. D Trautmann, J Daxenberger, C Stab, H Schütze, I Gurevych AAAI (2020) 34 (No 05: AAAI-20 Technical Tracks 5), 9048-9056, 2020 | 73* | 2020 |
Legal Prompt Engineering for Multilingual Legal Judgement Prediction D Trautmann, A Petrova, F Schilder SwissText 2022, 2022 | 61 | 2022 |
Sequence Labeling: A Practical Approach A Akhundov, D Trautmann, G Groh arXiv preprint arXiv:1808.03926, 2018 | 25 | 2018 |
Aspect-Based Argument Mining D Trautmann COLING 2020 7th Workshop on Argument Mining, 2020 | 17* | 2020 |
Domain Adaptation for Part-of-Speech Tagging of Noisy User-Generated Text L März, D Trautmann, B Roth NAACL 2019, 2019 | 16 | 2019 |
Generalization of Optimal Motion Trajectories for Bipedal Walking A Werner, D Trautmann, D Lee, R Lampariello IROS 2015, 2015 | 16 | 2015 |
Relational and Fine-Grained Argument Mining D Trautmann, M Fromm, V Tresp, T Seidl, H Schütze Datenbank-Spektrum, 99–105, 2020 | 14 | 2020 |
Distant supervision for emotion classification task using emoji 2 emotion A Rakhmetullina, D Trautmann, G Groh Proceedings of the 1st International Workshop on Emoji Understanding and …, 2018 | 13 | 2018 |
Multipurpose Intelligent Process Automation via Conversational Assistant A Moiseeva, D Trautmann, H Schütze AAAI (2020) Workshop on Intelligent Process Automation, 2020 | 10 | 2020 |
Unleashing the Power of Large Language Models for Legal Applications D Zhang, A Petrova, D Trautmann, F Schilder Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 6 | 2023 |
Large Language Model Prompt Chaining for Long Legal Document Classification D Trautmann SwissText 2023 - Late Breaking Work: Generative AI & LLM, 2023 | 6 | 2023 |
Active Learning for Argument Mining: A Practical Approach N Solmsdorf, D Trautmann, H Schütze arXiv preprint arXiv:2109.13611, 2021 | 1 | 2021 |