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Predicting the Relative Difficulty of Single Sentences With and Without Surrounding Context
2016
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
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. Yet while significant research has explored documentand passage-level reading difficulty, the special challenges involved in assessing aspects of readability for single sentences have received much less attention, particularly when considering the
doi:10.18653/v1/d16-1192
dblp:conf/emnlp/SchumacherEFC16
fatcat:626n243jondc3im4adw3hbsewm