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ORCIDNils Rethmeier
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2020 – today
- 2023
[j1]Nils Rethmeier
, Isabelle Augenstein:
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned, and Perspectives. ACM Comput. Surv. 55(10): 203:1-203:17 (2023)- [c8]Vageesh Saxena, Nils Rethmeier, Gijs van Dijck, Gerasimos Spanakis:
VendorLink: An NLP approach for Identifying & Linking Vendor Migrants & Potential Aliases on Darknet Markets. ACL (1) 2023: 8619-8639 - [i5]Vageesh Saxena, Nils Rethmeier, Gijs van Dijck, Gerasimos Spanakis:
VendorLink: An NLP approach for Identifying & Linking Vendor Migrants & Potential Aliases on Darknet Markets. CoRR abs/2305.02763 (2023) - 2022
- [c7]Malte Ostendorff, Nils Rethmeier, Isabelle Augenstein, Bela Gipp, Georg Rehm:
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings. EMNLP 2022: 11670-11688 - [i4]Malte Ostendorff, Nils Rethmeier, Isabelle Augenstein, Bela Gipp, Georg Rehm:
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings. CoRR abs/2202.06671 (2022) - 2021
- [i3]Nils Rethmeier, Isabelle Augenstein:
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives. CoRR abs/2102.12982 (2021) - 2020
- [c6]Nils Rethmeier, Necip Oguz Serbetci, Sebastian Möller, Roland Roller:
EffiCare: Better Prognostic Models via Resource-Efficient Health Embeddings. AMIA 2020 - [c5]Nils Rethmeier, Vageesh Kumar Saxena, Isabelle Augenstein:
TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP. UAI 2020: 440-449 - [i2]Nils Rethmeier, Isabelle Augenstein:
Long-Tail Zero and Few-Shot Learning via Contrastive Pretraining on and for Small Data. CoRR abs/2010.01061 (2020)
2010 – 2019
- 2019
- [c4]Nils Rethmeier, Barbara Plank:
MoRTy: Unsupervised Learning of Task-specialized Word Embeddings by Autoencoding. RepL4NLP@ACL 2019: 49-54 - [i1]Nils Rethmeier, Vageesh Kumar Saxena, Isabelle Augenstein:
TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP. CoRR abs/1912.00982 (2019) - 2018
- [c3]Nils Rethmeier, Marc Hübner, Leonhard Hennig:
Learning Comment Controversy Prediction in Web Discussions Using Incidentally Supervised Multi-Task CNNs. WASSA@EMNLP 2018: 316-321 - 2017
- [c2]Hans Uszkoreit, Aleksandra Gabryszak, Leonhard Hennig, Jörg Steffen, Renlong Ai, Stephan Busemann, Jon Dehdari, Josef van Genabith, Georg Heigold, Nils Rethmeier, Raphael Rubino, Sven Schmeier, Philippe Thomas, He Wang, Feiyu Xu:
Common Round: Application of Language Technologies to Large-Scale Web Debates. EACL (Software Demonstrations) 2017: 5-8 - [c1]Roland Roller, Nils Rethmeier, Philippe Thomas, Marc Hübner, Hans Uszkoreit, Oliver Staeck, Klemens Budde, Fabian Halleck, Danilo Schmidt:
Detecting Named Entities and Relations in German Clinical Reports. GSCL 2017: 146-154
Coauthor Index
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