Reiter, Ehud and Williams, Sandra
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|DOI (Digital Object Identifier) Link:||http://doi.org/10.1007/978-3-642-12337-5|
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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 Chapter|
|Copyright Holders:||2010 Springer-Verlag|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Sandra Williams|
|Date Deposited:||19 Nov 2010 12:10|
|Last Modified:||05 Aug 2016 04:34|
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