Deep language algorithms predict semantic comprehension from brain activity

Deep language algorithms, like GPT-2, have demonstrated remarkable abilities to process text, and now constitute the backbone of automatic translation, summarization and dialogue. However, whether these models encode information that relates to human comprehension still remains controversial. Here,...

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Detalles Bibliográficos
Autores principales: Caucheteux, Charlotte, Gramfort, Alexandre, King, Jean-Rémi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9522791/
https://www.ncbi.nlm.nih.gov/pubmed/36175483
http://dx.doi.org/10.1038/s41598-022-20460-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9522791/
https://www.ncbi.nlm.nih.gov/pubmed/36175483
http://dx.doi.org/10.1038/s41598-022-20460-9

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