Effect of node deletion in language networks on student comprehension of texts
Abstract
We measure the student comprehension of texts subjected to deletion of words based on their language networks - co-occurrence, synonymy and syntactic networks. Results show that deleting words decreases comprehension but not linearly with strong targeted deletion as the most effective and efficient type especially in co-occurrence network.
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Issue
International Year of Light and light-based technologies
3-6 June 2015, University of Northern Philippines, Vigan City