Abstract
We describe a classification-based approach to referring expression generation (REG) making use of standard context-related features, and an extension that adds speaker-related features. Results show that taking speakers’ preferences into account outperforms the standard REG model in four test corpora of definite descriptions.
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Ferreira, T.C., Paraboni, I. (2014). Referring Expression Generation: Taking Speakers’ Preferences into Account. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2014. Lecture Notes in Computer Science(), vol 8655. Springer, Cham. https://doi.org/10.1007/978-3-319-10816-2_65
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DOI: https://doi.org/10.1007/978-3-319-10816-2_65
Publisher Name: Springer, Cham
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