Learning Sentence Representation with Guidance of Human Attention

Abstract

Recently, much progress has been made in learning general-purpose sentence representations that can be used across domains. However, most of the existing models typically treat each word in a sentence equally. In contrast, extensive studies have proven that human read sentences efficiently by making a sequence of fixation and saccades. This motivates us to… (More)
DOI: 10.24963/ijcai.2017/578

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