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Lukas Lange
Lukas Lange
Bosch Center for Artificial Intelligence
Verified email at de.bosch.com
Title
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Cited by
Year
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
2372020
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
682020
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
262020
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
222020
ANEA: distant supervision for low-resource named entity recognition
MA Hedderich, L Lange, D Klakow
arXiv preprint arXiv:2102.13129, 2021
19*2021
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
152018
Feature-dependent confusion matrices for low-resource NER labeling with noisy labels
L Lange, MA Hedderich, D Klakow
arXiv preprint arXiv:1910.06061, 2019
142019
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
122022
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
112020
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
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
92021
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
92020
On the choice of auxiliary languages for improved sequence tagging
L Lange, H Adel, J Strötgen
arXiv preprint arXiv:2005.09389, 2020
72020
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
62021
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
62020
A survey on recent approaches for natural language processing in low-resource scenarios. arXiv 2020
MA Hedderich, L Lange, H Adel, J Strötgen, D Klakow
arXiv preprint arXiv:2010.12309, 0
5
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
42023
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
32023
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
32023
Multilingual normalization of temporal expressions with masked language models
L Lange, J Strötgen, H Adel, D Klakow
arXiv preprint arXiv:2205.10399, 2022
32022
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