Abstract
Digital Libraries present tremendous potential for developing e-learning applications, such as text comprehension and question-answering tools. A way to build this kind of tools is structuring the digital content into relevant concepts and dependency relations among them. While the literature offers several approaches for the former, the identification of dependencies, and specifically of prerequisite relations, is still an open issue. We present an approach to manage this task.
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Acknowledgements
The authors thank prof. Carlo Tasso for making available Distiller system for concept extraction during the initial experiments of the described methodology.
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Adorni, G., Dell’Orletta, F., Koceva, F., Torre, I., Venturi, G. (2018). Extracting Dependency Relations from Digital Learning Content. In: Serra, G., Tasso, C. (eds) Digital Libraries and Multimedia Archives. IRCDL 2018. Communications in Computer and Information Science, vol 806. Springer, Cham. https://doi.org/10.1007/978-3-319-73165-0_11
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DOI: https://doi.org/10.1007/978-3-319-73165-0_11
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