Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Orlikowski, Matthias"'
Many annotation tasks in natural language processing are highly subjective in that there can be different valid and justified perspectives on what is a proper label for a given example. This also applies to the judgment of argument quality, where the
Externí odkaz:
http://arxiv.org/abs/2311.03153
Many NLP tasks exhibit human label variation, where different annotators give different labels to the same texts. This variation is known to depend, at least in part, on the sociodemographics of annotators. Recent research aims to model individual an
Externí odkaz:
http://arxiv.org/abs/2306.11559
Publikováno v:
Social Sciences (2076-0760); Jan2024, Vol. 13 Issue 1, p5, 14p
Autor:
Declerck, Thierry, McCrae, John, Hartung, Matthias, Gracia, Jorge, Chiarcos, Christian, Montiel, Elena, Cimiano, Philipp, Revenko, Artem, Lee, Deidre, Racioppa, Stefania, Nasir, Jamal, Orlikowski, Matthias, Lanau-Coronas, Marta, Fäth, Christian, Rico, Mariano, Elahi, Mohammad Fazleh, Khvalchik, Maria, Sauri, Roser, Gonzalez, Meritxell, Katharine Cooney
Publikováno v:
12th International Language Resources and Evaluation Conference (LREC 2020)
In this paper we describe the contributions made by the European H2020 project “Prêt-à-LLOD” (‘Ready-to-use Multilingual Linked Language Data for Knowledge Services across Sectors’) to the further development of the Linguistic Linked Open D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2de74cc98f4a5a0175659dd758815f80
https://opus.bibliothek.uni-augsburg.de/opus4/files/104028/104028.pdf
https://opus.bibliothek.uni-augsburg.de/opus4/files/104028/104028.pdf
Rolling out text analytics applications or individual components thereof to multiple input languages of interest requires scalable workflows and architectures that do not rely on manual annotation efforts or language-specific re-engineering per targe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13b0d2065aef46647420315049181214
Autor:
Blaschke, Christian, Khvalchik, Maria, Revenok, Artem, Rodrigues, Guilherme, Saurí, Roser, González, Meritxell, Ahmed, Khalil, Theodoridou, Eva, Lee, Deirdre, Cooney, Katharine, Romera, Mario, Orlikowski, Matthias, Veríssimo, Susana, Jebbara, Soufian, Pia di Buono, Maria, McCrae, John P., Hartung, Matthias
Business Pilot Specification for Prêt-à-LLOD project
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91089b8668f39001e8affa90524f4621
Publikováno v:
Proceedings of the 5th Workshop on Semantic Deep Learning (SemDeep-5)
Considerable progress in neural question answering has been made on competitive general domain datasets. In order to explore methods to aid the generalization potential of question answering models, we reimplement a state-of-the-art architecture, per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cd4d6cbcefdabde07ba353b69f377a6
Publikováno v:
PUB-Publications at Bielefeld University
We propose to study the evolution of concepts by learning to complete diachronic analogies between lists of terms which relate to the same concept at different points in time. We present a number of models based on operations on word embedddings that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::00d29d8e469ef1503d718bf33207ff6a
https://pub.uni-bielefeld.de/publication/2920762
https://pub.uni-bielefeld.de/publication/2920762
Autor:
Orlikowski, Matthias, Bongartz, Richard, Reddersen, Andrea, Reuter, Jana, Pfeiffer, Thies, Latoschik, Marc Erich, Staadt, Oliver, Steinicke, Frank
Publikováno v:
PUB-Publications at Bielefeld University
Das Paper arbeitet den Forschungsstand zur Überwindung von Höhenunterschieden in der Virtuellen Realität (VR) auf und diskutiert insbesondere deren Einsatz in egozentrischer Perspektive. Am konkreten Beispiel einer VR-Version des Computerspiels Mi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a0392d379a0531f955cbd1929812265b
https://pub.uni-bielefeld.de/publication/2623948
https://pub.uni-bielefeld.de/publication/2623948
Semalytix provides solutions to customers in the pharmaceutical industry in order to foster patient centricity in medical drug development through text analytics on real-world data. According to the FDA, patient-centric drug development is ���a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b3182a7b67f443db64849f12e294b08