Follow
Lukas Lange
Lukas Lange
Bosch Center for Artificial Intelligence
Verified email at de.bosch.com
Title
Cited by
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
732020
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
332020
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
162020
Feature-dependent confusion matrices for low-resource NER labeling with noisy labels
L Lange, MA Hedderich, D Klakow
arXiv preprint arXiv:1910.06061, 2019
112019
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
92020
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
82018
ANEA: distant supervision for low-resource named entity recognition
MA Hedderich, L Lange, D Klakow
arXiv preprint arXiv:2102.13129, 2021
72021
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
62020
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
32020
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
32020
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
22021
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
22021
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
22019
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations
L Lange, H Adel, J Strötgen, D Klakow
arXiv preprint arXiv:2010.12305, 2020
12020
On the Choice of Auxiliary Languages for Improved Sequence Tagging
L Lange, H Adel, J Strötgen
arXiv preprint arXiv:2005.09389, 2020
12020
Time in Newspaper: A Large-Scale Analysis of Temporal Expressions in News Corpora
L Lange
Universität des Saarlandes Saarbrücken, 2017
12017
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
2022
Multilingual Normalization of Temporal Expressions with Masked Language Models
L Lange, J Strötgen, H Adel, D Klakow
arXiv preprint arXiv:2205.10399, 2022
2022
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
The system can't perform the operation now. Try again later.
Articles 1–20