Inducing brain-relevant bias in natural language processing models

NeurIPS 2019 Dan SchwartzMariya TonevaLeila Wehbe

Progress in natural language processing (NLP) models that estimate representations of word sequences has recently been leveraged to improve the understanding of language processing in the brain. However, these models have not been specifically designed to capture the way the brain represents language meaning... (read more)

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