Supervised Mind Reading: Uncovering Text from Neural Data
نویسندگان
چکیده
Often, applications of natural language processing assume a bag-of-words model to represent a sentence or a document, in which each word is treated independent of the remaining words. While sentence models following this assumption may yield satisfactory results when using corpora data, such models fail to capture the integration of words into context. As an essential part of language processing in the brain (Altmann & Steedman, 1988), word integration should be included in any model that aims to capture the neural representation of sentence processing.
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