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Generating texts in different styles

Reiter, Ehud and Williams, Sandra (2010). Generating texts in different styles. In: Argamon, Shlomo; Burns, Kevin and Dubnov, Shlomo eds. The Structure of Style: Algorithmic Approaches to Manner and Meaning. Heidelberg: Springer, pp. 59–78.

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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.

Item Type: Book Section
Copyright Holders: 2010 Springer-Verlag
ISBN: 3-642-12336-8, 978-3-642-12336-8
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 24736
Depositing User: Sandra Williams
Date Deposited: 19 Nov 2010 12:10
Last Modified: 08 Dec 2018 09:17
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