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
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