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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...
Autores principales: | Jacobs, Arthur M., Kinder, Annette |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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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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