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Analyzing Discourse and Text Complexity for Learning and Collaborating pp 53–77Cite as

Computational Discourse Analysis

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 534))

Abstract

As previous chapters were overall oriented towards comprehension and productions from the perspectives of individual and collaborative learning, this chapter is focused on presenting automatic discourse analysis models and natural language processing techniques that ground a computational and quantifiable perspective of cohesion and coherence and that greatly impact the underlying functionalities of our developed systems (A.S.A.P., Ch.A.M.P., PolyCAFe and ReaderBench).

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  1. Faculty of Automatic Control and Computers , Politehnica University of Bucharest, Bucharest, Romania

    Mihai Dascalu

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  1. Mihai Dascalu
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Dascalu, M. (2014). Computational Discourse Analysis. In: Analyzing Discourse and Text Complexity for Learning and Collaborating. Studies in Computational Intelligence, vol 534. Springer, Cham. https://doi.org/10.1007/978-3-319-03419-5_4

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  • DOI: https://doi.org/10.1007/978-3-319-03419-5_4

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