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Plos One|October 13, 2016
Understanding Karma Police: The Perceived Plausibility of Noun Compounds as Predicted by Distributional Models of Semantic RepresentationFritz Günther, Marco Marelli
Quarterly Journal of Experimental Psychology (2006)|January 15, 2020
Trying to make it work: Compositional effects in the processing of compound "nonwords"Fritz Günther, Marco Marelli
Cognitive Psychology|March 27, 2022
Patterns in CAOSS: Distributed representations predict variation in relational interpretations for familiar and novel compound wordsFritz Günther, Marco Marelli
Journal of Experimental Psychology. Learning, Memory, and Cognition|December 21, 2018
Enter sandman: Compound processing and semantic transparency in a compositional perspectiveFritz Günther, Marco Marelli
Perspectives on Psychological Science : a Journal of the Association for Psychological Science|September 11, 2019
Vector-Space Models of Semantic Representation From a Cognitive Perspective: A Discussion of Common MisconceptionsFritz Günther, Luca Rinaldi, Marco Marelli
Behavior Research Methods|February 14, 2020
Semantic transparency effects in German compounds: A large dataset and multiple-task investigationFritz Günther, Marco Marelli, Jens Bölte
Cortex; a Journal Devoted to the Study of the Nervous System and Behavior|October 24, 2018
'Understanding' differs between English and German: Capturing systematic language differences of complex wordsFritz Günther, Eva Smolka, Marco Marelli
Behavior Research Methods|December 12, 2022
The Flickr frequency norms: What 17 years of images tagged online tell us about lexical processingMarco A Petilli, Fritz Günther, Marco Marelli
Psychological Research|November 12, 2020
Images of the unseen: extrapolating visual representations for abstract and concrete words in a data-driven computational modelFritz Günther, Marco Alessandro Petilli, Alessandra Vergallito, et al.
Psychological Review|October 6, 2022
ViSpa (Vision Spaces): A computer-vision-based representation system for individual images and concept prototypes, with large-scale evaluationFritz Günther, Marco Marelli, Sam Tureski, et al.
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