Search Results - "Beckage, Nicole M."
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Cognitive Network Science: A Review of Research on Cognition through the Lens of Network Representations, Processes, and Dynamics
Published in Complexity (New York, N.Y.) (2019)“…Network science provides a set of quantitative methods to investigate complex systems, including human cognition. Although cognitive theories in different…”
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Network Growth Modeling to Capture Individual Lexical Learning
Published in Complexity (New York, N.Y.) (2019)“…Network models of language provide a systematic way of linking cognitive processes to the structure and connectivity of language. Using network growth models…”
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Multiplex lexical networks reveal patterns in early word acquisition in children
Published in Scientific reports (24-04-2017)“…Network models of language have provided a way of linking cognitive processes to language structure. However, current approaches focus only on one linguistic…”
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Cognitive Network Science: A New Frontier
Published in Complexity (New York, N.Y.) (2020)“…[...]articles by N. M. Beckage and E. Colunga and J. C. Zemla and J. L. Austerweil focus on modeling structural changes in the network representation as…”
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Multiplex model of mental lexicon reveals explosive learning in humans
Published in Scientific reports (02-02-2018)“…Word similarities affect language acquisition and use in a multi-relational way barely accounted for in the literature. We propose a multiplex network…”
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Erratum to “Cognitive Network Science: A Review of Research on Cognition through the Lens of Network Representations, Processes, and Dynamics”
Published in Complexity (New York, N.Y.) (01-01-2020)“…In the article titled “Cognitive Network Science: A Review of Research on Cognition through the Lens of Network Representations, Processes, and Dynamics” [1],…”
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An Autocatalytic Network Model of Conceptual Change
Published in Topics in cognitive science (01-01-2022)“…In reflexively autocatalytic foodset (RAF)‐generated networks, nodes are not only passive transmitters of activation, but they also actively galvanize, or…”
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Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large‐Scale Text Corpora
Published in Cognitive science (01-02-2022)“…Applying machine learning algorithms to automatically infer relationships between concepts from large‐scale collections of documents presents a unique…”
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Quantifying the Role of Vocabulary Knowledge in Predicting Future Word Learning
Published in IEEE transactions on cognitive and developmental systems (01-06-2020)“…Can we predict the words a child is going to learn next given information about the words that a child knows now? Do different representations of a child's…”
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Context Matters: Recovering Human Visual and Semantic Knowledge from Machine Learning Analysis of Large-Scale Text Corpora
Published in Journal of vision (Charlottesville, Va.) (27-09-2021)Get full text
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Predictive modeling to capture the words a toddler will learn next
Published 2016“…Network models of language provide a systematic way of linking a child's current vocabulary knowledge processes to the structure and connectivity of properties…”
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Dissertation -
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Multiplex lexical networks reveal patterns in early word acquisition in children
Published 26-05-2017“…Scientific Reports 7, Article number: 46730 (2017) Network models of language have provided a way of linking cognitive processes to the structure and…”
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Journal Article -
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Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora
Published 15-10-2019“…Applying machine learning algorithms to large-scale, text-based corpora (embeddings) presents a unique opportunity to investigate at scale how human semantic…”
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Multiplex model of mental lexicon reveals explosive learning in humans
Published 26-05-2017“…Word similarities affect language acquisition and use in a multi-relational way barely accounted for in the literature. We propose a multiplex network…”
Get full text
Journal Article