Nils Rethmeier
Nils Rethmeier
Researcher at DFKI, PhD candidate at University of Copenhagen, ML lead at DB Systel
Verified email at - Homepage
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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
Neighborhood contrastive learning for scientific document representations with citation embeddings
M Ostendorff, N Rethmeier, I Augenstein, B Gipp, G Rehm
EMNLP 2022, 2022
TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-) Supervised NLP
N Rethmeier, VK Saxena, I Augenstein
UAI 2020, 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
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
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
EffiCare: better prognostic models via resource-efficient health embeddings
N Rethmeier, NO Serbetci, S Möller, R Roller
AMIA Annual Symposium Proceedings 2020, 1060, 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
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
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
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