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 July 2005, Birmingham, UK.

Full text available as:

Preview

PDF (Not Set) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader Download (158Kb)

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 Item
Academic Unit/Department:	Mathematics, Computing and Technology > Computing
Interdisciplinary Research Centre:	Centre for Research in Computing (CRC)
Item ID:	12450
Depositing User:	Sandra Williams
Date Deposited:	26 Nov 2008 10:58
Last Modified:	04 Dec 2010 22:31
URI:	http://oro.open.ac.uk/id/eprint/12450

Actions (login may be required)

	View Item
RDF+XMLBibTeXRDF+N-TriplesJSONDublin CoreAtomOAI-ORE Resource Map (Atom Format)Simple MetadataReferMETSOAI-ORE Resource Map (RDF Format)HTML CitationASCII CitationMultiline CSVRefMan RIS Format (UTF-8)OpenURL ContextObjectEndNoteMODSOpenURL ContextObject in SpanMPEG-21 DIDLEP3 XMLRefMan RIS FormatRDF+N3Eprints Application Profile	Public: Report issue / request change