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Found 2 papers, 1 papers with code
An Attention-Based Model for Predicting Contextual Informativeness and Curriculum Learning Applications
Second, we show how our model identifies key contextual elements in a sentence that are likely to contribute most to a reader's understanding of the target word.
Predicting the Relative Difficulty of Single Sentences With and Without Surrounding Context
The problem of accurately predicting relative reading difficulty across a set of sentences arises in a number of important natural language applications, such as finding and curating effective usage examples for intelligent language tutoring systems.
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