Abstract
Natural Language Generation (nlg) systems generate texts in English and other human languages from non-linguistic input data. Usually there are a large number of possible texts that can communicate the input data, and nlg systems must choose one of these. This decision can partially be based on style (interpreted broadly). We explore three mechanisms for incorporating style into nlg choice-making: (1) explicit stylistic parameters, (2) imitating a genre style, and (3) imitating an individual’s style.
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Acknowledgements
We would like to thank our colleagues in Aberdeen and Milton Keynes, the anonymous reviewers, and the tutors we worked with in SkillSum for their insightful comments and suggestions. We also thank the attendees of the AISB 2008 Symposium on “Style in Text: Creative Generation and Identification of Authorship” (where we presented an earlier version of this paper) for their help and suggestions. This work was funded by PACCIT-LINK grant ESRC RES-328-25-0026.
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Reiter, E., Williams, S. (2010). Generating Texts in Different Styles. In: Argamon, S., Burns, K., Dubnov, S. (eds) The Structure of Style. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12337-5_4
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DOI: https://doi.org/10.1007/978-3-642-12337-5_4
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