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- W2970734123 abstract "We present a new concept prerequisite learning method for Learning Object (LO) ordering that exploits only linguistic features extracted from textual educational resources. The method was tested in a cross- and in- domain scenario both for Italian and English. Additionally, we performed experiments based on a incremental training strategy to study the impact of the training set size on the classifier performances. The paper also introduces ITA-PREREQ, to the best of our knowledge the first Italian dataset annotated with prerequisite relations between pairs of educational concepts, and describe the automatic strategy devised to build it." @default.
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- W2970734123 date "2019-01-01" @default.
- W2970734123 modified "2023-10-02" @default.
- W2970734123 title "Linguistically-Driven Strategy for Concept Prerequisites Learning on Italian" @default.
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- W2970734123 doi "https://doi.org/10.18653/v1/w19-4430" @default.
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