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Computational Models of Readers' Apperceptive Mass

Recent progress in machine-learning-based distributed semantic models (DSMs) offers new ways to simulate the apperceptive mass (AM; Kintsch, 1980) of reader groups or individual readers and to predict their performance in reading-related tasks. The AM integrates the mental lexicon with world knowled...

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Detalles Bibliográficos
Autores principales: Jacobs, Arthur M., Kinder, Annette
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8905622/
https://www.ncbi.nlm.nih.gov/pubmed/35280232
http://dx.doi.org/10.3389/frai.2022.718690

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