1994/11/29 by Ehud Reiter, Reiter, Ehud, Chris Mellish +3
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Semantic Web and Ontologies #Software Engineering Research #cmp-lg #cs.CL
paper · pdf · doi:10.48550/arxiv.cmp-lg/9411031
uuencoded compressed tar file, with LaTeX source and ps figures. Will appear in APPLIED ARTIFICIAL INTELLIGENCE journal, volume 9 (1995)
openalex publication_date 1994/11/29 · arxiv created 1994/11/30 · arxiv updated 2009/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Natural-language generation (NLG) techniques can be used to automatically produce technical documentation from a domain knowledge base and linguistic and contextual models. We discuss this application of NLG technology from both a technical and a usefulness (costs and benefits) perspective. This discussion is based largely on our experiences with the IDAS documentation-generation project, and the reactions various interested people from industry have had to IDAS. We hope that this summary of our experiences with IDAS and the lessons we have learned from it will be beneficial for other researchers who wish to build technical-documentation generation systems.