A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned, and Perspectives N Rethmeier, I Augenstein ACM Computing Surveys 55 (10), 1-17, 2023 | 38 | 2023 |
Neighborhood contrastive learning for scientific document representations with citation embeddings M Ostendorff, N Rethmeier, I Augenstein, B Gipp, G Rehm EMNLP 2022, 2022 | 18 | 2022 |
TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-) Supervised NLP N Rethmeier, VK Saxena, I Augenstein UAI 2020, 2019 | 17 | 2019 |
Long-tail zero and few-shot learning via contrastive pretraining on and for small data N Rethmeier, I Augenstein AAAI: Artificial Intelligence with Biased or Scarce Data Workshop, 2020 | 15* | 2020 |
Detecting named entities and relations in German clinical reports R Roller, N Rethmeier, P Thomas, M Hübner, H Uszkoreit, O Staeck, ... Language Technologies for the Challenges of the Digital Age: 27th …, 2018 | 14 | 2018 |
Learning comment controversy prediction in web discussions using incidentally supervised multi-task CNNs N Rethmeier, M Hübner, L Hennig Proceedings of the 9th Workshop on Computational Approaches to Subjectivity …, 2018 | 11 | 2018 |
EffiCare: better prognostic models via resource-efficient health embeddings N Rethmeier, NO Serbetci, S Möller, R Roller AMIA Annual Symposium Proceedings 2020, 1060, 2020 | 5 | 2020 |
MoRTy: Unsupervised Learning of Task-specialized Word Embeddings by Autoencoding N Rethmeier, B Plank Proceedings of The Fourth Workshop on Representation Learning for NLP …, 2019 | 4 | 2019 |
Common Round: Application of Language Technologies to Large-Scale Web Debates H Uszkoreit, A Gabryszak, L Hennig, J Steffen, R Ai, S Busemann, ... Proceedings of the Software Demonstrations of the 15th Conference of the …, 2017 | 3 | 2017 |
VendorLink: An NLP approach for Identifying & Linking Vendor Migrants & Potential Aliases on Darknet Markets V Saxena, N Rethmeier, G Van Dijck, G Spanakis arXiv preprint arXiv:2305.02763, 2023 | | 2023 |