Towards a Multimodal Time-Based Empathy Prediction System

Autor: Fermin Moscoso del Prado Martin, Giovanni Maffei, Francesco Barbieri, Federico Lucchesi, Tillman Weyde, Eric Guizzo

Publikováno v: FG

We describe our system for empathic emotion recognition. It is based on deep learning on multiple modalities in a late fusion architecture. We describe the modules of our system and discuss the evaluation results. Our code is also available for the r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ab727d29fe98fb71eff014502b3e12e
https://doi.org/10.1109/fg.2019.8756532

Monolingual and bilingual recognition of regular and irregular English verbs: Sensitivity to form similarity varies with first language experience

Autor: Basnight-Brown, Dana M., Chen, Lang, Hua, Shu, Kostić, Aleksandar, Feldman, Laurie Beth

Publikováno v: In Journal of Memory and Language 2007 57(1):65-80

Exploring semantic differences between the Indonesian prefixes PE- and PEN- using a vector space model.

Autor: Denistia, Karlina, Shafaei-Bajestan, Elnaz, Baayen, R. Harald

Publikováno v: Corpus Linguistics & Linguistic Theory; Oct2022, Vol. 18 Issue 3, p573-598, 26p

Reviewer Acknowledgment.

Publikováno v: Cognitive Science; Nov2016, Vol. 40 Issue 8, p2151-2155, 5p

USING THE STRUCTURE FOUND IN TIME: BUILDING DISTRIBUTED REPRESENTATIONS OF WORD FORMS BY ACCUMULATION OF EXPECTATIONS.

Autor: DEL PRADO MARTÍN, F. MOSCOSO, SCHREUDER, R., BAAYEN, R. H.

Publikováno v: Connectionist Models of Cognition & Perception II- Proceedings of the Eighth Neural Computation & Psychology Workshop; 2004, p263-272, 10p