Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks N Reimers, I Gurevych Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 4866 | 2019 |
Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation N Reimers, I Gurevych EMNLP 2020, 2020 | 460 | 2020 |
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 | 429 | 2017 |
Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks N Reimers, I Gurevych arXiv preprint arXiv:1707.06799, 2017 | 335 | 2017 |
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 | 214 | 2021 |
Classification and Clustering of Arguments with Contextualized Word Embeddings N Reimers, B Schiller, T Beck, J Daxenberger, C Stab, I Gurevych ACL 2019, 2019 | 152 | 2019 |
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 | 105 | 2020 |
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 | 77 | 2019 |
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 | 76 | 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 | 65 | 2021 |
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 | 53 | 2014 |
Task-oriented intrinsic evaluation of semantic textual similarity N Reimers, P Beyer, I Gurevych Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 46 | 2016 |
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 | 42 | 2018 |
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 | 39 | 2016 |
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 | 37 | 2021 |
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 | 34 | 2022 |
The curse of dense low-dimensional information retrieval for large index sizes N Reimers, I Gurevych arXiv preprint arXiv:2012.14210, 2020 | 26 | 2020 |
Alternative weighting schemes for elmo embeddings N Reimers, I Gurevych arXiv preprint arXiv:1904.02954, 2019 | 23 | 2019 |
Event time extraction with a decision tree of neural classifiers N Reimers, N Dehghani, I Gurevych Transactions of the Association for Computational Linguistics 6, 77-89, 2018 | 17 | 2018 |
Robust hash algorithms for text M Steinebach, P Klöckner, N Reimers, D Wienand, P Wolf Communications and Multimedia Security: 14th IFIP TC 6/TC 11 International …, 2013 | 13 | 2013 |