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  1. The Role of Co‐Occurrence Statistics in Developing Semantic Knowledge.Layla Unger, Catarina Vales & Anna V. Fisher - 2020 - Cognitive Science 44 (9):e12894.
    The organization of our knowledge about the world into an interconnected network of concepts linked by relations profoundly impacts many facets of cognition, including attention, memory retrieval, reasoning, and learning. It is therefore crucial to understand how organized semantic representations are acquired. The present experiment investigated the contributions of readily observable environmental statistical regularities to semantic organization in childhood. Specifically, we investigated whether co‐occurrence regularities with which entities or their labels more reliably occur together than with others (a) contribute to (...)
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  • Statistical regularities shape semantic organization throughout development.Layla Unger, Olivera Savic & Vladimir M. Sloutsky - 2020 - Cognition 198:104190.
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  • Emotional Valence Precedes Semantic Maturation of Words: A Longitudinal Computational Study of Early Verbal Emotional Anchoring.José Á Martínez-Huertas, Guillermo Jorge-Botana & Ricardo Olmos - 2021 - Cognitive Science 45 (7):e13026.
    We present a longitudinal computational study on the connection between emotional and amodal word representations from a developmental perspective. In this study, children's and adult word representations were generated using the latent semantic analysis (LSA) vector space model and Word Maturity methodology. Some children's word representations were used to set a mapping function between amodal and emotional word representations with a neural network model using ratings from 9‐year‐old children. The neural network was trained and validated in the child semantic space. (...)
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  • Sentiment Analysis of Children and Youth Literature: Is There a Pollyanna Effect?Arthur M. Jacobs, Berenike Herrmann, Gerhard Lauer, Jana Lüdtke & Sascha Schroeder - 2020 - Frontiers in Psychology 11.
    If the words of natural human language possess a universal positivity bias, as assumed by Boucher and Osgood’s (1969) famous Pollyanna hypothesis and computationally confirmed for large text corpora in several languages (Dodds et al., 2015), then children and youth literature (CYL) should also show a Pollyanna effect. Here we tested this prediction applying a vector space model- based sentiment analysis tool called SentiArt (Jacobs, 2019) to two CYL corpora, one in English (372 books) and one in German (500 books). (...)
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