Mellish, Chris; Scott, Donia; Cahill, Lynn; Paiva, Daniel; Evans, Roger and Reape, Mike
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|DOI (Digital Object Identifier) Link:||https://doi.org/10.1017/S1351324906004104|
|Google Scholar:||Look up in Google Scholar|
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.
|Item Type:||Journal Article|
|Extra Information:||Copyright held by the Cambridge University Press.|
|Keywords:||natural language generation; computational linguistics; reference architecture; RAGS; NLG|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Donia Scott|
|Date Deposited:||14 Nov 2006|
|Last Modified:||05 Oct 2016 17:57|
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