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  1. Malte Ostendorff; Nils Rethmeier; Isabelle Augenstein; Bela Gipp; Georg Rehm

    Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings

    In: The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). Conference on Empirical Methods in Natural Language …

  2. EffiCare: Better Prognostic Models via Resource-Efficient Health Embeddings

    In: AMIA 2020 ANNUAL SYMPOSIUM. AMIA Annual Symposium (AMIA-2020), November 14-18, Virtual, PubMed, 11/2020.

  3. Nils Rethmeier; Vageesh Kumar Saxena; Isabelle Augenstein

    TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP

    In: Proceedings of Machine Learning Research. International Conference on Uncertainty in AI (UAI), located at UAI, August 3-6, Virtual, PMLR, 8/2020.

  4. Nils Rethmeier; Barbara Plank

    MoRTy: Unsupervised Learning of Task-specialized Word Embeddings by Autoencoding

    In: Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019). Annual Meeting of the Association for Computational …

  5. Learning Comment Controversy Prediction in Web Discussions Using Incidentally Supervised Multi-Task CNNs

    In: The 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis - Proceedings of the Workshop. Workshop on …

  6. Common Round: Application of Language Technologies to Large-Scale Web Debates

    In: Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics. …

  7. Roland Roller; Nils Rethmeier; Philippe Thomas; Marc Hübner; Hans Uszkoreit; Fabian Halleck; Oliver Staeck; Klemens Budde; Danilo Schmidt

    Detecting Named Entities and Relations in German Clinical Reports

    In: Proceedings of the International Conference of the German Society for Computational Linguistics and Language Technology. Conference of the German …