| Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks N Reimers, I Gurevych Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 10806 | 2019 |
| Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation N Reimers, I Gurevych EMNLP 2020, 2020 | 912 | 2020 |
| Beir: A heterogenous benchmark for zero-shot evaluation of information retrieval models N Thakur, N Reimers, A Rücklé, A Srivastava, I Gurevych arXiv preprint arXiv:2104.08663, 2021 | 631 | 2021 |
| Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging N Reimers, I Gurevych Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 493 | 2017 |
| Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks N Reimers, I Gurevych arXiv preprint arXiv:1707.06799, 2017 | 413 | 2017 |
| Classification and Clustering of Arguments with Contextualized Word Embeddings N Reimers, B Schiller, T Beck, J Daxenberger, C Stab, I Gurevych ACL 2019, 2019 | 219 | 2019 |
| MTEB: Massive text embedding benchmark N Muennighoff, N Tazi, L Magne, N Reimers arXiv preprint arXiv:2210.07316, 2022 | 218 | 2022 |
| Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks N Thakur, N Reimers, J Daxenberger, I Gurevych NAACL 2021, 2020 | 195 | 2020 |
| Adapterdrop: On the efficiency of adapters in transformers A Rücklé, G Geigle, M Glockner, T Beck, J Pfeiffer, N Reimers, I Gurevych arXiv preprint arXiv:2010.11918, 2020 | 194 | 2020 |
| Tsdae: Using transformer-based sequential denoising auto-encoder for unsupervised sentence embedding learning K Wang, N Reimers, I Gurevych arXiv preprint arXiv:2104.06979, 2021 | 173 | 2021 |
| Gpl: Generative pseudo labeling for unsupervised domain adaptation of dense retrieval K Wang, N Thakur, N Reimers, I Gurevych arXiv preprint arXiv:2112.07577, 2021 | 119 | 2021 |
| Efficient few-shot learning without prompts L Tunstall, N Reimers, UES Jo, L Bates, D Korat, M Wasserblat, O Pereg arXiv preprint arXiv:2209.11055, 2022 | 117 | 2022 |
| Revisiting joint modeling of cross-document entity and event coreference resolution S Barhom, V Shwartz, A Eirew, M Bugert, N Reimers, I Dagan arXiv preprint arXiv:1906.01753, 2019 | 109 | 2019 |
| Task-oriented intrinsic evaluation of semantic textual similarity N Reimers, P Beyer, I Gurevych Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 80 | 2016 |
| Retrieve fast, rerank smart: Cooperative and joint approaches for improved cross-modal retrieval G Geigle, J Pfeiffer, N Reimers, I Vulić, I Gurevych Transactions of the Association for Computational Linguistics 10, 503-521, 2022 | 57 | 2022 |
| Germeval-2014: Nested named entity recognition with neural networks N Reimers, J Eckle-Kohler, C Schnober, J Kim, I Gurevych Workshop Proceedings of the 12th Edition of the KONVENS Conference, 117-120, 2014 | 54 | 2014 |
| Why comparing single performance scores does not allow to draw conclusions about machine learning approaches N Reimers, I Gurevych arXiv preprint arXiv:1803.09578, 2018 | 52 | 2018 |
| The curse of dense low-dimensional information retrieval for large index sizes N Reimers, I Gurevych arXiv preprint arXiv:2012.14210, 2020 | 49 | 2020 |
| Temporal Anchoring of Events for the TimeBank Corpus N Reimers, N Dehghani, I Gurevych Annual Meeting of the Association for Computational Linguistics (ACL 2016), 2016 | 44 | 2016 |
| Alternative weighting schemes for elmo embeddings N Reimers, I Gurevych arXiv preprint arXiv:1904.02954, 2019 | 30 | 2019 |
