论文信息 - A Multi-Tier NL-Knowledge Clustering for Classifying Students' Essays

A Multi-Tier NL-Knowledge Clustering for Classifying Students' Essays

In this paper, we describe a multi-tier Natural Language (NL) clustering approach to text classification for classifying students’ essays for tutoring applications. The main task of the classifier is to map the students’ essay statements into target concepts, namely physics principles

Kurt VanLehn | Pamela W. Jordan | Dumisizwe Bhembe | Umarani Pappuswamy

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