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  1. The Emotions of Abstract Words: A Distributional Semantic Analysis.Alessandro Lenci, Gianluca E. Lebani & Lucia C. Passaro - 2018 - Topics in Cognitive Science 10 (3):550-572.
    Affective information can be retrieved simply by measuring words co‐occurrences in linguistic contexts. Lenci and colleagues demonstrate that the affective measures retrieved from linguistic occurrences predict words’ concreteness: abstract words are more heavily loaded with affective information than concrete ones. These results challenge the Affective grounding hypothesis, suggesting that abstract concepts may be ungrounded and coded only linguistically, and that their affective load may be a linguistic factor.
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  • Modeling Brain Representations of Words' Concreteness in Context Using GPT‐2 and Human Ratings.Andrea Bruera, Yuan Tao, Andrew Anderson, Derya Çokal, Janosch Haber & Massimo Poesio - 2023 - Cognitive Science 47 (12):e13388.
    The meaning of most words in language depends on their context. Understanding how the human brain extracts contextualized meaning, and identifying where in the brain this takes place, remain important scientific challenges. But technological and computational advances in neuroscience and artificial intelligence now provide unprecedented opportunities to study the human brain in action as language is read and understood. Recent contextualized language models seem to be able to capture homonymic meaning variation (“bat”, in a baseball vs. a vampire context), as (...)
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