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Lukas Lange
Lukas Lange
Bosch Center for Artificial Intelligence
Bestätigte E-Mail-Adresse bei de.bosch.com
Titel
Zitiert von
Zitiert von
Jahr
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
1072020
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
392020
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
182020
Feature-dependent confusion matrices for low-resource NER labeling with noisy labels
L Lange, MA Hedderich, D Klakow
arXiv preprint arXiv:1910.06061, 2019
132019
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
122020
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
112018
ANEA: distant supervision for low-resource named entity recognition
MA Hedderich, L Lange, D Klakow
arXiv preprint arXiv:2102.13129, 2021
102021
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
82020
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
62020
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
52021
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
42021
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
42020
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations
L Lange, H Adel, J Strötgen, D Klakow
arXiv preprint arXiv:2010.12305, 2020
32020
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
22022
On the Choice of Auxiliary Languages for Improved Sequence Tagging
L Lange, H Adel, J Strötgen
arXiv preprint arXiv:2005.09389, 2020
22020
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
Time in Newspaper: A Large-Scale Analysis of Temporal Expressions in News Corpora
L Lange
Universität des Saarlandes Saarbrücken, 2017
12017
Device and in particular a computer-implemented method for classifying data sets
L Lange, J Stroetgen
US Patent App. 17/654,417, 2022
2022
Device and in particular computer-implemented method for determining a similarity between data sets
L Lange, H Adel-Vu, J Stroetgen
US Patent App. 17/654,430, 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
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