A Reference Architecture for Natural Language Generation Systems

Mellish, Chris; Scott, Donia; Cahill, Lynn; Paiva, Daniel; Evans, Roger and Reape, Mike (2006). A Reference Architecture for Natural Language Generation Systems. Natural Language Engineering, 12(1) pp. 1–34.

DOI: https://doi.org/10.1017/S1351324906004104

URL: http://mcs.open.ac.uk/ds5473/publications/rags-JNL...

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.

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About

• Item ORO ID
• 2326
• Item Type
• Journal Item
• ISSN
• 1351-3249
• Extra Information
• Copyright held by the Cambridge University Press.
• Keywords
• natural language generation; computational linguistics; reference architecture; RAGS; NLG
• 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
• Donia Scott