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  1.  16
    An Autocatalytic Network Model of Conceptual Change.Liane Gabora, Nicole M. Beckage & Mike Steel - 2022 - Topics in Cognitive Science 14 (1):163-188.
    Topics in Cognitive Science, Volume 14, Issue 1, Page 163-188, January 2022.
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    Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large‐Scale Text Corpora.Marius Cătălin Iordan, Tyler Giallanza, Cameron T. Ellis, Nicole M. Beckage & Jonathan D. Cohen - 2022 - Cognitive Science 46 (2):e13085.
    Applying machine learning algorithms to automatically infer relationships between concepts from large-scale collections of documents presents a unique opportunity to investigate at scale how human semantic knowledge is organized, how people use it to make fundamental judgments (“How similar are cats and bears?”), and how these judgments depend on the features that describe concepts (e.g., size, furriness). However, efforts to date have exhibited a substantial discrepancy between algorithm predictions and human empirical judgments. Here, we introduce a novel approach to generating (...)
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    Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large‐Scale Text Corpora.Marius Cătălin Iordan, Tyler Giallanza, Cameron T. Ellis, Nicole M. Beckage & Jonathan D. Cohen - 2022 - Cognitive Science 46 (2):e13085.
    Cognitive Science, Volume 46, Issue 2, February 2022.
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