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Stefan Grünewald
Stefan Grünewald
Ph.D. Student, Bosch Center for Artificial Intelligence
Verified email at de.bosch.com
Title
Cited by
Cited by
Year
Applying Occam's Razor to transformer-based dependency parsing: what works, what doesn't, and what is really necessary
S Grünewald, A Friedrich, J Kuhn
arXiv preprint arXiv:2010.12699, 2020
162020
RobertNLP at the IWPT 2020 shared task: Surprisingly simple enhanced UD parsing for English
S Grünewald, A Friedrich
112020
Coordinate constructions in English enhanced Universal Dependencies: Analysis and computational modeling
S Grünewald, P Piccirilli, A Friedrich
arXiv preprint arXiv:2103.08955, 2021
72021
Graph-based universal dependency parsing in the age of the transformer: What works, and what doesn’t
S Grünewald, A Friedrich, J Kuhn
arXiv preprint arXiv:2010.12699, 2020
52020
RobertNLP at the IWPT 2021 shared task: Simple enhanced UD parsing for 17 languages
S Grünewald, FT Oertel, A Friedrich
Proceedings of the 17th International Conference on Parsing Technologies and …, 2021
32021
Negation-instance based evaluation of end-to-end negation resolution
E Sineva, S Grünewald, A Friedrich, J Kuhn
arXiv preprint arXiv:2109.10013, 2021
22021
Generalized chart constraints for efficient PCFG and TAG parsing
S Grünewald, S Henning, A Koller
arXiv preprint arXiv:1806.10654, 2018
22018
Device and method for filling a knowledge graph, training method therefor
S Gruenewald, A Friedrich
US Patent App. 17/450,489, 2022
12022
Unifying the treatment of preposition-determiner contractions in German universal dependencies treebanks
S Grünewald, A Friedrich
Proceedings of the Fourth Workshop on Universal Dependencies (UDW 2020), 94-98, 2020
12020
Annotation and Classification of Locations in Folktales
M Lindemann, S Grünewald, T Declerck
Proceedings of the Second Workshop on Corpus-Based Research in the …, 0
1
MuLMS: A Multi-Layer Annotated Text Corpus for Information Extraction in the Materials Science Domain
TP Schrader, M Finco, S Grünewald, F Hildebrand, A Friedrich
arXiv preprint arXiv:2310.15569, 2023
2023
MuLMS-AZ: An Argumentative Zoning Dataset for the Materials Science Domain
TP Schrader, T Bürkle, S Henning, S Tan, M Finco, S Grünewald, ...
arXiv preprint arXiv:2307.02340, 2023
2023
MIST: a Large-Scale Annotated Resource and Neural Models for Functions of Modal Verbs in English Scientific Text
S Henning, N Macher, S Grünewald, A Friedrich
arXiv preprint arXiv:2212.07156, 2022
2022
Maximum Spanning Trees Are Invariant to Temperature Scaling in Graph-based Dependency Parsing
S Grünewald
arXiv preprint arXiv:2106.08159, 2021
2021
A corpus study of creating rule-based enhanced universal dependencies for German
T Bürkle, S Grünewald, A Friedrich
2021
Formalisierung von Märchen.
T Declerck, A Aman, S Grünewald, M Lindemann, L Schäfer, ...
DHd, 2018
2018
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