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Die Studie erforscht erstmals spezifisch für Sachsen die Lebenslagen von lesbischen, schwulen, bisexuellen, trans*geschlechtlichen, intergeschlechtlichen, nicht-binären und queeren (lsbtiq*) Menschen und erhebt methodisch breit sowie inhaltlich tie
Externí odkaz:
https://slub.qucosa.de/id/qucosa%3A86790
https://slub.qucosa.de/api/qucosa%3A86790/attachment/ATT-0/
https://slub.qucosa.de/api/qucosa%3A86790/attachment/ATT-0/
Autor:
Hofmann, Markus J., Jansen, Markus T., Wigbels, Christoph, Briesemeister, Benny, Jacobs, Arthur M.
Here we examine whether the personality dimension of openness to experience can be predicted from the individual google search history. By web scraping, individual text corpora (ICs) were generated from 214 participants with a mean number of 5 millio
Externí odkaz:
http://arxiv.org/abs/2404.00165
Autor:
Hofmann, Markus
Die Palliativmedizin gilt oft als ein vergleichsweise junges Themengebiet, welches in den zurückliegenden Jahrzehnten kontinuierlich an Bedeutung gewinnen konnte. Palliativmedizin ist jedoch keine reine Erfindung des 20. Jahrhunderts. So galt die Ve
Publikováno v:
Potsdam : Universitätsverlag, 2012. - i, 66 S. : graph. Darst. (Potsdam Cognitive Science Series ; 3). - ISBN 978-3-86956-178-3
Inhalt: Introduction A two-dimensional affective space: Valence and arousal effects in word processing Higher dimensional affective space: a role of discrete emotions in word processing? A direct comparison of the affective space models References
Externí odkaz:
http://opus.kobv.de/ubp/volltexte/2012/6237/
Publikováno v:
Frontiers in Artificial Intelligence, 4(730570), 1-20 (2022)
Though there is a strong consensus that word length and frequency are the most important single-word features determining visual-orthographic access to the mental lexicon, there is less agreement as how to best capture syntactic and semantic factors.
Externí odkaz:
http://arxiv.org/abs/2202.01128
The corpus, from which a predictive language model is trained, can be considered the experience of a semantic system. We recorded everyday reading of two participants for two months on a tablet, generating individual corpus samples of 300/500K tokens
Externí odkaz:
http://arxiv.org/abs/2010.10176
The present study uses a computational approach to examine the role of semantic constraints in normal reading. This methodology avoids confounds inherent in conventional measures of predictability, allowing for theoretically deeper accounts of semant
Externí odkaz:
http://arxiv.org/abs/1912.10164