State, media and civil society in the information warfare over Ukraine: citizen curators of digital disinformation Y Golovchenko, M Hartmann, R Adler-Nissen International affairs 94 (5), 975-994, 2018 | 186 | 2018 |
Lost in evaluation: Misleading benchmarks for bilingual dictionary induction Y Kementchedjhieva, M Hartmann, A Søgaard arXiv preprint arXiv:1909.05708, 2019 | 41 | 2019 |
Issue framing in online discussion fora M Hartmann, T Jansen, I Augenstein, A Søgaard arXiv preprint arXiv:1904.03969, 2019 | 32 | 2019 |
Adapt: As-needed decomposition and planning with language models A Prasad, A Koller, M Hartmann, P Clark, A Sabharwal, M Bansal, T Khot arXiv preprint arXiv:2311.05772, 2023 | 28 | 2023 |
Comparing unsupervised word translation methods step by step M Hartmann, Y Kementchedjhieva, A Søgaard Advances in Neural Information Processing Systems 32, 2019 | 19 | 2019 |
A survey on improving NLP models with human explanations M Hartmann, D Sonntag arXiv preprint arXiv:2204.08892, 2022 | 16 | 2022 |
Multilingual negation scope resolution for clinical text M Hartmann, A Søgaard Proceedings of the 12th International Workshop on Health Text Mining and …, 2021 | 16 | 2021 |
MultiFin: A dataset for multilingual financial NLP R Jørgensen, O Brandt, M Hartmann, X Dai, C Igel, D Elliott Findings of the Association for Computational Linguistics: EACL 2023, 894-909, 2023 | 15 | 2023 |
Mapping (dis-) information flow about the MH17 plane crash M Hartmann, Y Golovchenko, I Augenstein arXiv preprint arXiv:1910.01363, 2019 | 14 | 2019 |
A multilingual benchmark for probing negation-awareness with minimal pairs M Hartmann, M De Lhoneux, D Hershcovich, Y Kementchedjhieva, ... CoNLL 2021-25th Conference on Computational Natural Language Learning, 244-257, 2021 | 13* | 2021 |
Analogy training multilingual encoders N Garneau, M Hartmann, A Sandholm, S Ruder, I Vulić, A Søgaard Proceedings of the AAAI Conference on Artificial Intelligence 35 (14), 12884 …, 2021 | 12 | 2021 |
Why is unsupervised alignment of English embeddings from different algorithms so hard? M Hartmann, Y Kementchedjhieva, A Søgaard arXiv preprint arXiv:1809.00150, 2018 | 11 | 2018 |
A danish framenet lexicon and an annotated corpus used for training and evaluating a semantic frame classifier BS Pedersen, S Nimb, A Søgaard, M Hartmann, S Olsen Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 10 | 2018 |
XAINES: Explaining AI with narratives M Hartmann, H Du, N Feldhus, I Kruijff-Korbayová, D Sonntag KI-Künstliche Intelligenz 36 (3), 287-296, 2022 | 9 | 2022 |
mdapt: Multilingual domain adaptive pretraining in a single model RK Jørgensen, M Hartmann, X Dai, D Elliott arXiv preprint arXiv:2109.06605, 2021 | 9 | 2021 |
Limitations of cross-lingual learning from image search M Hartmann, A Søgaard arXiv preprint arXiv:1709.05914, 2017 | 8 | 2017 |
Interactive machine learning for image captioning M Hartmann, A Anagnostopoulou, D Sonntag arXiv preprint arXiv:2202.13623, 2022 | 7 | 2022 |
Interaction with explanations in the XAINES project M Hartmann, I Kruijff-Korbayová, D Sonntag Trustworthy AI in the Wild Workshop 9, 2021, 2021 | 5 | 2021 |
Improving German image captions using machine translation and transfer learning R Biswas, M Barz, M Hartmann, D Sonntag Statistical Language and Speech Processing: 9th International Conference …, 2021 | 4 | 2021 |
Cross-domain German medical named entity recognition using a pre-trained language model and unified medical semantic types S Liang, M Hartmann, D Sonntag Proceedings of the 5th Clinical Natural Language Processing Workshop, 259-271, 2023 | 3 | 2023 |