| A survey on recent approaches for natural language processing in low-resource scenarios MA Hedderich, L Lange, H Adel, J Strötgen, D Klakow arXiv preprint arXiv:2010.12309, 2020 | 333 | 2020 |
| The SOFC-exp corpus and neural approaches to information extraction in the materials science domain A Friedrich, H Adel, F Tomazic, J Hingerl, R Benteau, A Maruscyk, ... arXiv preprint arXiv:2006.03039, 2020 | 82 | 2020 |
| Adversarial alignment of multilingual models for extracting temporal expressions from text L Lange, A Iurshina, H Adel, J Strötgen arXiv preprint arXiv:2005.09392, 2020 | 36 | 2020 |
| Delucionqa: Detecting hallucinations in domain-specific question answering M Sadat, Z Zhou, L Lange, J Araki, A Gundroo, B Wang, RR Menon, ... arXiv preprint arXiv:2312.05200, 2023 | 31 | 2023 |
| NLNDE: The neither-language-nor-domain-experts' way of spanish medical document de-identification L Lange, H Adel, J Strötgen arXiv preprint arXiv:2007.01030, 2020 | 25 | 2020 |
| ANEA: distant supervision for low-resource named entity recognition MA Hedderich, L Lange, D Klakow arXiv preprint arXiv:2102.13129, 2021 | 23* | 2021 |
| CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain L Lange, H Adel, J Strötgen, D Klakow Bioinformatics 38 (12), 3267-3274, 2022 | 17 | 2022 |
| KRAUTS: A German temporally annotated news corpus J Strötgen, AL Minard, L Lange, M Speranza, B Magnini Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 16 | 2018 |
| Feature-dependent confusion matrices for low-resource NER labeling with noisy labels L Lange, MA Hedderich, D Klakow arXiv preprint arXiv:1910.06061, 2019 | 14 | 2019 |
| Nlnde at semeval-2023 task 12: Adaptive pretraining and source language selection for low-resource multilingual sentiment analysis M Wang, H Adel, L Lange, J Strötgen, H Schütze arXiv preprint arXiv:2305.00090, 2023 | 13 | 2023 |
| Switchprompt: Learning domain-specific gated soft prompts for classification in low-resource domains K Goswami, L Lange, J Araki, H Adel arXiv preprint arXiv:2302.06868, 2023 | 11 | 2023 |
| Boosting transformers for job expression extraction and classification in a low-resource setting L Lange, H Adel, J Strötgen arXiv preprint arXiv:2109.08597, 2021 | 11 | 2021 |
| To share or not to share: Predicting sets of sources for model transfer learning L Lange, J Strötgen, H Adel, D Klakow arXiv preprint arXiv:2104.08078, 2021 | 11 | 2021 |
| NLNDE: enhancing neural sequence taggers with attention and noisy channel for robust pharmacological entity detection L Lange, H Adel, J Strötgen arXiv preprint arXiv:2007.01022, 2020 | 11 | 2020 |
| Closing the gap: Joint de-identification and concept extraction in the clinical domain L Lange, H Adel, J Strötgen arXiv preprint arXiv:2005.09397, 2020 | 11 | 2020 |
| Fame: Feature-based adversarial meta-embeddings for robust input representations L Lange, H Adel, J Strötgen, D Klakow arXiv preprint arXiv:2010.12305, 2020 | 10* | 2020 |
| Multilingual normalization of temporal expressions with masked language models L Lange, J Strötgen, H Adel, D Klakow arXiv preprint arXiv:2205.10399, 2022 | 8 | 2022 |
| On the choice of auxiliary languages for improved sequence tagging L Lange, H Adel, J Strötgen arXiv preprint arXiv:2005.09389, 2020 | 8 | 2020 |
| Rehearsal-Free Modular and Compositional Continual Learning for Language Models M Wang, H Adel, L Lange, J Strötgen, H Schütze arXiv preprint arXiv:2404.00790, 2024 | 7 | 2024 |
| NLNDE at CANTEMIST: neural sequence labeling and parsing approaches for clinical concept extraction L Lange, X Dai, H Adel, J Strötgen arXiv preprint arXiv:2010.12322, 2020 | 6 | 2020 |
Jannik StrötgenKarlsruhe University of Applied Sciences, Germanyh-ka.de의 이메일 확인됨
