Predicting Contextual Informativeness for Vocabulary Learning.
IEEE Transactions on Learning Technologies(2018)
摘要
Vocabulary knowledge is essential to educational progress. High quality vocabulary instruction requires supportive contextual examples to teach word meaning and proper usage. Identifying such contexts by hand for a large number of words can be difficult. In this work, we take a statistical learning approach to engineer a system that predicts informativeness of a context for target words that span ...
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关键词
Vocabulary,Predictive models,Education,Databases,Software,Pediatrics
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