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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 10 of 10 1 Unveiling the nature of interaction between semantics and phonology in lexical access based on multilayer networks Levy, Orr; Kenett, Yoed N.; Oxenberg, Orr... In: Sci Rep (2021) BASE Show details 2 Visual and Affective Multimodal Models of Word Meaning in Language and Mind De Deyne, Simon; Navarro, Danielle J.; Collell, Guillem... In: Cogn Sci (2021) BASE Show details 3 Unveiling the nature of interaction between semantics and phonology in lexical access based on multilayer networks Levy, Orr; Kenett, Yoed N.; Oxenberg, Orr. - : Nature Research, 2021 BASE Show details 4 #lockdown: network-enhanced emotional profiling at the times of COVID-19 ... Stella, Massimo; Restocchi, Valerio; De Deyne, Simon. - : arXiv, 2020 BASE Show details 5 Predicting Lexical Norms: A Comparison between a Word Association Model and Text-Based Word Co-occurrence Models Vankrunkelsven, Hendrik; Verheyen, Steven; Storms, Gert; De Deyne, Simon. - : Ubiquity Press, 2018 Abstract: In two studies we compare a distributional semantic model derived from word co-occurrences and a word association based model in their ability to predict properties that affect lexical processing. We focus on age of acquisition, concreteness, and three affective variables, namely valence, arousal, and dominance, since all these variables have been shown to be fundamental in word meaning. In both studies we use a model based on data obtained in a continued free word association task to predict these variables. In Study 1 we directly compare this model to a word co-occurrence model based on syntactic dependency relations to see which model is better at predicting the variables under scrutiny in Dutch. In Study 2 we replicate our findings in English and compare our results to those reported in the literature. In both studies we find the word association-based model fit to predict diverse word properties. Especially in the case of predicting affective word properties, we show that the association model is superior to the distributional model. Keyword: Research Article URL: https://doi.org/10.5334/joc.50 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6634333/ BASE Hide details 6 Associative strength and semantic activation in the mental lexicon: evidence from continued word associations. De Deyne, Simon; Navarro, Daniel; Storms, Gert In: De Deyne, Simon; Navarro, Daniel; & Storms, Gert. (2013). Associative strength and semantic activation in the mental lexicon: evidence from continued word associations. Proceedings of the Cognitive Science Society, 35(35). Retrieved from: http://www.escholarship.org/uc/item/1596128p (2013) BASE Show details 7 Similarity of fMRI Activity Patterns in Left Perirhinal Cortex Reflects Semantic Similarity between Words Bruffaerts, Rose; Dupont, Patrick; Peeters, Ronald. - : Society for Neuroscience, 2013 BASE Show details 8 The generalized polymorphous concept account of graded structure in abstract categories Storms, Gert; Verheyen, Steven; Dry, Matthew J.... In: Memory & cognition. - Heidelberg [u.a.] : Springer 39 (2011) 6, 1117-1132 BLLDB OLC Linguistik Show details 9 Age-of-acquisition differences in young and older adults affect latencies in lexical decision and semantic categorization De Deyne, Simon; Storms, Gert In: Acta psychologica. - Amsterdam : Elsevier 124 (2007) 3, 274-295 BLLDB Show details 10 Age-of-acquisition effects in semantic processing tasks Brysbaert, Marc; Wijnendaele, Ilse van; De Deyne, Simon In: Acta psychologica. - Amsterdam [u.a.] : Elsevier 104 (2000) 2, 215-226 BLLDB Show details

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