AbstractThe most existing sentence representation models typically treat each word in sentences equally. However, extensive studies have proven that human read sentences by making a sequence of fixation and saccades (Rayner 1998), which is extremely efficient. In this paper, we propose two novel approaches, using significant predictors of
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