Title
From RAGS to RICHES: exploiting the potential of a flexible generation architecture
Abstract
The RAGS proposals for generic specification of NLG systems includes a detailed account of data representation, but only an outline view of processing aspects. In this paper we introduce a modular processing architecture with a concrete implementation which aims to meet the RAGS goals of transparency and reusability. We illustrate the model with the RICHES system -- a generation system built from simple linguistically-motivated modules.
Year
DOI
Venue
2001
10.3115/1073012.1073027
ACL
Keywords
Field
DocType
data representation
Natural language generation,Transparency (graphic),Architecture,External Data Representation,Software engineering,Computer science,Artificial intelligence,Modular design,Reusability,Machine learning
Conference
Volume
Citations 
PageRank 
P01-1
13
1.22
References 
Authors
10
7
Name
Order
Citations
PageRank
Lynne Cahill1747.58
John Carroll21971222.19
Roger Evans334455.12
Daniel Paiva4574.82
Richard Power548645.19
Donia Scott663471.58
Kees van Deemter776971.23