Hostname: page-component-848d4c4894-x24gv Total loading time: 0 Render date: 2024-04-30T10:27:06.180Z Has data issue: false hasContentIssue false
  • English
  • Français

A Reference Architecture for Natural Language Generation Systems

Published online by Cambridge University Press:  02 March 2006

CHRIS MELLISH ,
DONIA SCOTT ,
LYNNE CAHILL ,
DANIEL PAIVA ,
ROGER EVANS  and
MIKE REAPE
CHRIS MELLISH
Affiliation:
Department of Computing Science, University of Aberdeen, Aberdeen, UK
DONIA SCOTT
Affiliation:
Centre for Research in Computing, The Open University, Milton Keynes, UK
LYNNE CAHILL
Affiliation:
University of Sussex, UK
DANIEL PAIVA
Affiliation:
University of Sussex, UK
ROGER EVANS
Affiliation:
School of Maths and Computing, University of Brighton, Brighton, UK
MIKE REAPE
Affiliation:
School of Informatics, University of Edinburgh, Edinburgh, UK e-mail: rags@open.ac.uk
Get access Rights & Permissions [Opens in a new window]

Abstract

We present the RAGS (Reference Architecture for Generation Systems) framework: a specification of an abstract Natural Language Generation (NLG) system architecture to support sharing, re-use, comparison and evaluation of NLG technologies. We argue that the evidence from a survey of actual NLG systems calls for a different emphasis in a reference proposal from that seen in similar initiatives in information extraction and multimedia interfaces. We introduce the framework itself, in particular the two-level data model that allows us to support the complex data requirements of NLG systems in a flexible and coherent fashion, and describe our efforts to validate the framework through a range of implementations.

Type
Papers
Information
Natural Language Engineering , Volume 12 , Issue 1 , March 2006 , pp. 1 - 34
Copyright
2006 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

This is a revised and updated version of the paper “A Reference Architecture for Generation Systems” which appeared (in error) in Natural Language Engineering 10(3/4) the Special Issue on Software Architectures for Language Engineering. This version should be cited in preference to the earlier one.