| 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 | 81 | 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 | 35 | 2020 |
| 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 | 17 | 2020 |
| Feature-dependent confusion matrices for low-resource NER labeling with noisy labels L Lange, MA Hedderich, D Klakow arXiv preprint arXiv:1910.06061, 2019 | 12 | 2019 |
| 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 | 10 | 2020 |
| 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 | 9 | 2018 |
| ANEA: distant supervision for low-resource named entity recognition MA Hedderich, L Lange, D Klakow arXiv preprint arXiv:2102.13129, 2021 | 8 | 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 | 6 | 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 | 4 | 2020 |
| 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 | 3 | 2020 |
| 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 | 2 | 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 | 2 | 2021 |
| The power of temporal features for classifying news articles L Lange, O Alonso, J Strötgen Companion Proceedings of The 2019 World Wide Web Conference, 1159-1160, 2019 | 2 | 2019 |
| FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations L Lange, H Adel, J Strötgen, D Klakow arXiv preprint arXiv:2010.12305, 2020 | 1 | 2020 |
| On the Choice of Auxiliary Languages for Improved Sequence Tagging L Lange, H Adel, J Strötgen arXiv preprint arXiv:2005.09389, 2020 | 1 | 2020 |
| Time in Newspaper: A Large-Scale Analysis of Temporal Expressions in News Corpora L Lange Universität des Saarlandes Saarbrücken, 2017 | 1 | 2017 |
| Multilingual Normalization of Temporal Expressions with Masked Language Models L Lange, J Strötgen, H Adel, D Klakow arXiv preprint arXiv:2205.10399, 2022 | | 2022 |
| 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 arXiv preprint arXiv:2112.08754, 2021 | | 2021 |
| Computer-implemented method for concept extraction L Lange, H Adel-Vu, J Stroetgen US Patent App. 17/306,530, 2021 | | 2021 |
| Device and method for determining a knowledge graph H Adel-Vu, J Stroetgen, L Lange US Patent App. 17/237,669, 2021 | | 2021 |
Jannik StrötgenBosch Center for Artificial Intelligence, GermanyVerified email at de.bosch.com
