Nils Rethmeier

15 papers A* 1A 1Misc 1Journal 7Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
Understanding and Analyzing Model Robustness and Knowledge-Transfer in Multilingual Neural Machine Translation using TX-Ray.
CoRR
Vageesh Saxena, Sharid Loáiciga, Nils Rethmeier
2023 J jnl
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned, and Perspectives.
ACM Comput. Surv.
Nils Rethmeier, Isabelle Augenstein
2023 — conf
VendorLink: An NLP approach for Identifying & Linking Vendor Migrants & Potential Aliases on Darknet Markets.
ACL (1)
Vageesh Saxena, Nils Rethmeier, Gijs van Dijck, Gerasimos Spanakis
2023 J jnl
VendorLink: An NLP approach for Identifying & Linking Vendor Migrants & Potential Aliases on Darknet Markets.
CoRR
Vageesh Saxena, Nils Rethmeier, Gijs van Dijck, Gerasimos Spanakis
2022 A* conf
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings.
EMNLP
Malte Ostendorff, Nils Rethmeier, Isabelle Augenstein, Bela Gipp, Georg Rehm
2022 J jnl
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings.
CoRR
Malte Ostendorff, Nils Rethmeier, Isabelle Augenstein, Bela Gipp, Georg Rehm
2021 J jnl
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives.
CoRR
Nils Rethmeier, Isabelle Augenstein
2020 Misc conf
EffiCare: Better Prognostic Models via Resource-Efficient Health Embeddings.
AMIA
Nils Rethmeier, Necip Oguz Serbetci, Sebastian Möller, Roland Roller
2020 J jnl
Long-Tail Zero and Few-Shot Learning via Contrastive Pretraining on and for Small Data.
CoRR
Nils Rethmeier, Isabelle Augenstein
2020 A conf
TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP.
UAI
Nils Rethmeier, Vageesh Kumar Saxena, Isabelle Augenstein
2019 — conf
MoRTy: Unsupervised Learning of Task-specialized Word Embeddings by Autoencoding.
RepL4NLP@ACL
Nils Rethmeier, Barbara Plank
2019 J jnl
TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP.
CoRR
Nils Rethmeier, Vageesh Kumar Saxena, Isabelle Augenstein
2018 — conf
Learning Comment Controversy Prediction in Web Discussions Using Incidentally Supervised Multi-Task CNNs.
WASSA@EMNLP
Nils Rethmeier, Marc Hübner, Leonhard Hennig
2017 — conf
Common Round: Application of Language Technologies to Large-Scale Web Debates.
EACL (Software Demonstrations)
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
2017 — conf
Detecting Named Entities and Relations in German Clinical Reports.
GSCL
Roland Roller, Nils Rethmeier, Philippe Thomas, Marc Hübner, Hans Uszkoreit, Oliver Staeck, Klemens Budde, Fabian Halleck, Danilo Schmidt