Deriving content selection rules from a corpus of non-naturally occurring documents for a novel NLG application

Williams, Sandra and Reiter, Ehud (2005). Deriving content selection rules from a corpus of non-naturally occurring documents for a novel NLG application. In: Proceedings of the Corpus Linguistics 2005 Workshop on Using Corpora for Natural Language Generation, 14 Jul 2005, Birmingham, UK, Information Technology Research Institute (ITRI), pp. 41–48.

URL: http://www.itri.brighton.ac.uk/ucnlg/ucnlg05/Proce...

Abstract

We describe a methodology for deriving content selection rules for NLG applications that aim to replace oral communications from human experts by written communications that are generated automatically. We argue for greater involvement of users and for a strategy for handling sparse data.

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About

• Item ORO ID
• 12450
• Item Type
• Conference or Workshop Item
• Academic Unit or 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)
• Depositing User
• Sandra Williams