BriefGPT.xyz
Oct, 2019
人工和人类神经语言表示的关联
Linking artificial and human neural representations of language
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Jon Gauthier, Roger Levy
TL;DR
对比句子编码模型在大脑解码任务上的表现,发现语法轻量级表示能够显著提高脑解码性能,这一结果限制了自然语言理解模型解释人类大脑语言功能的空间,同时也揭示了使用fMRI人脑成像技术解码精细句法信息的局限性。
Abstract
What information from an act of
sentence understanding
is robustly represented in the human brain? We investigate this question by comparing sentence encoding models on a
brain decoding
task, where the sentence t
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