Intelligent information-sharing systems
Communications of the ACM
Object lens: a “spreadsheet” for cooperative work
CSCW '88 Proceedings of the 1988 ACM conference on Computer-supported cooperative work
Supporting collaboration in Hypermedia: issues and experiences
Journal of the American Society for Information Science
Power, ease of use and cooperative work in a practical multimedia message system
International Journal of Man-Machine Studies - Computer-supported cooperative work and groupware. Part 1
Aquanet: a hypertext tool to hold your knowledge in place
HYPERTEXT '91 Proceedings of the third annual ACM conference on Hypertext
Explanations in Knowledge Systems: Design for Explainable Expert Systems
IEEE Expert: Intelligent Systems and Their Applications
ANLC '92 Proceedings of the third conference on Applied natural language processing
Automatic generation of on-line documentation in the IDAS project
ANLC '92 Proceedings of the third conference on Applied natural language processing
A fast algorithm for the generation of referring expressions
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 1
Generation of extended bilingual statistical reports
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 3
Bilingual generation of weather forecasts in an operations environment
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 1
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In the CORECT project, we are building a computer-based requirements capture tool for custom-built electronic testing systems. The requirements capture process involves the participation of a wide range of different types of people -- the customer, the salesperson, systems engineers, quality assurance, marketing, and so on. Our aim is to build a Computer-Supported Cooperative Working (CSCW) system which will allow these participants to define an Automatic Test System (ATS) collaboratively by adding data and making changes to an evolving design. The collected information about the design will form a large knowledge pool, all of which is pertinent to the design as a whole, but most of which is irrelevant to any particular person engaged in the design process. We will therefore be using natural language generation (NLG) technology to create documents from the central knowledge pool which are tailored to the particular information needs of the participants. These documents will give the users a snapshot of the developing design and will enable them to see how it can be improved and further developed. This paper gives an introduction to the problem we are tackling and how we are trying to solve it, and argues that combining CSCW for input with NLG for output in this way solves some of the problems which are encountered when trying to use either technology on its own.