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.

Full text available as:

Preview

PDF (Not Set) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader Download (162kB)

URL:	http://www.itri.brighton.ac.uk/ucnlg/ucnlg05/Proce...
Google Scholar:	Look up in Google Scholar

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.

Item Type:	Conference or Workshop Item
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)
Item ID:	12450
Depositing User:	Sandra Williams
Date Deposited:	26 Nov 2008 10:58
Last Modified:	12 Dec 2018 03:42
URI:	http://oro.open.ac.uk/id/eprint/12450
Share this page:

Actions (login may be required)

RDF+XMLBibTeXRIOXX2 XMLRDF+N-TriplesJSONDublin CoreAtomSimple MetadataReferMETSHTML CitationASCII CitationRefMan RIS Format (UTF-8)OpenURL ContextObjectEndNoteMODSOpenURL ContextObject in SpanMPEG-21 DIDLEP3 XMLRefMan RIS FormatRDF+N3