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Academic Paper


Title: A Reference Architecture for Natural Language Generation Systems
Author: Chris Mellish
Institution: University of Aberdeen
Author: Mike Reape
Institution: University of Edinburgh
Linguistic Field: Computational Linguistics
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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This article appears IN Natural Language Engineering Vol. 12, Issue 1, which you can READ on Cambridge's site or on LINGUIST .



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