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Found 4 papers, 1 papers with code
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.
Human Perception of Surprise: A User Study
Understanding how to engage users is a critical question in many applications.
Estimating Robust Query Models with Convex Optimization
Query expansion is a long-studied approach for improving retrieval effectiveness by enhancing the userâs original query with additional related terms.
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.
