Lukas Lange
Lukas Lange
Bosch Center for Artificial Intelligence
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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
Feature-dependent confusion matrices for low-resource ner labeling with noisy labels
L Lange, MA Hedderich, D Klakow
arXiv preprint arXiv:1910.06061, 2019
KRAUTS: A German temporally annotated news corpus
J Strötgen, AL Minard, L Lange, M Speranza, B Magnini
11th Language Resources and Evaluation Conference, 536-540, 2018
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
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
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
Time in Newspaper: A Large-Scale Analysis of Temporal Expressions in News Corpora
L Lange
Universität des Saarlandes Saarbrücken, 2017
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
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
On the Choice of Auxiliary Languages for Improved Sequence Tagging
L Lange, H Adel, J Strötgen
arXiv preprint arXiv:2005.09389, 2020
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