A reference architecture for natural language generation systems

C. Mellish; D. Scott; Lynne Cahill; Roger Evans; D. Paiva; M. Reape

doi:10.1017/S1351324906004104

A reference architecture for natural language generation systems

C. Mellish
, D. Scott
, Lynne Cahill
, Roger Evans
, D. Paiva
, M. Reape

University of Brighton

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	1-34
Number of pages	34
Journal	Natural Language Engineering
Volume	12
Issue number	1
DOIs	https://doi.org/10.1017/S1351324906004104
Publication status	Published - Mar 2006

Bibliographical note

Keywords

Natural language generation systems

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A reference architecture for natural language generation systems

Abstract

Bibliographical note

Keywords

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