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Toward Automatic Classification of Metadiscourse

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8686))

Abstract

This paper describes the supervised classification of four metadiscursive functions in English. Training data is collected using crowdsourcing to label a corpus of TED talks transcripts with occurrences of Introductions, Conclusions, Examples, and Emphasis. Using decision trees and lexical features, we report classification accuracy.

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Correia, R., Mamede, N., Baptista, J., Eskenazi, M. (2014). Toward Automatic Classification of Metadiscourse. In: Przepiórkowski, A., Ogrodniczuk, M. (eds) Advances in Natural Language Processing. NLP 2014. Lecture Notes in Computer Science(), vol 8686. Springer, Cham. https://doi.org/10.1007/978-3-319-10888-9_27

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  • DOI: https://doi.org/10.1007/978-3-319-10888-9_27

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10887-2

  • Online ISBN: 978-3-319-10888-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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