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Matthias Orlikowski
Matthias Orlikowski
Semantic Computing Group, Bielefeld University
Potvrđena adresa e-pošte na techfak.uni-bielefeld.de - Početna stranica
Naslov
Citirano
Citirano
Godina
Recent developments for the linguistic linked open data infrastructure
T Declerck, JP McCrae, M Hartung, J Gracia, C Chiarcos, ...
222020
Learning diachronic analogies to analyze concept change
M Orlikowski, M Hartung, P Cimiano
Proceedings of the Second Joint SIGHUM Workshop on Computational Linguistics …, 2018
192018
Leveraging linguistic linked data for cross-lingual model transfer in the pharmaceutical domain
J Gracia, C Fäth, M Hartung, M Ionov, J Bosque-Gil, S Veríssimo, ...
The Semantic Web–ISWC 2020: 19th International Semantic Web Conference …, 2020
162020
Extending neural question answering with linguistic input features
F Hommel, P Cimiano, M Orlikowski, M Hartung
Proceedings of the 5th Workshop on Semantic Deep Learning (SemDeep-5), 31-39, 2019
82019
Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews.
FS Bäumer, J Kersting, M Orlikowski, M Geierhos
SEMANTICS Posters&Demos, 2018
52018
The Ecological Fallacy in Annotation: Modelling Human Label Variation goes beyond Sociodemographics
M Orlikowski, P Röttger, P Cimiano, D Hovy
arXiv preprint arXiv:2306.11559, 2023
32023
Evaluating the impact of bilingual lexical resources on cross-lingual sentiment projection in the pharmaceutical domain
M Hartung, M Orlikowski, S Verıssimo
DOI: https://doi. org/10.5281/zenodo 3707940, 2020
32020
Springen in der Virtuellen Realität: Analyse von Navigationsformen zur Überwindung von Höhenunterschieden am Beispiel von MinecraftVR
M Orlikowski, R Bongartz, A Reddersen, J Reuter, T Pfeiffer
Virtuelle und Erweiterte Realität-10. Workshop der GI-Fachgruppe VR/AR, 2013
32013
LLOD-Driven Bilingual Word Embeddings Rivaling Cross-Lingual Transformers in Quality of Life Concept Detection from French Online Health Communities
BWE Rivaling
Further with Knowledge Graphs: Proceedings of the 17th International …, 2021
22021
„Argument Mining: A new method for automated text analysis and its application in communication science “
M Maurer, J Daxenberger, M Orlikowski, I Gurevych
Dynamische Prozesse in der Kommunikationswissenschaft: Methodische …, 2019
22019
Just Collect, Don’t Filter: Noisy Labels Do Not Improve Counterspeech Collection for Languages Without Annotated Resources
P Möhle, M Orlikowski, P Cimiano
Proceedings of the 1st Workshop on CounterSpeech for Online Abuse (CS4OA), 44-61, 2023
12023
Architectural Sweet Spots for Modeling Human Label Variation by the Example of Argument Quality: It's Best to Relate Perspectives!
P Heinisch, M Orlikowski, J Romberg, P Cimiano
arXiv preprint arXiv:2311.03153, 2023
2023
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