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