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COLING
2002

Towards Automatic Generation of Natural Language Generation Systems

9 years 5 months ago
Towards Automatic Generation of Natural Language Generation Systems
Systems that interact with the user via natural language are in their infancy. As these systems mature and become more complex, it would be desirable for a system developer if there were an automatic method for creating natural language generation components that can produce quality output efficiently. We conduct experiments that show that this goal appears to be realizable. In particular we discuss a natural language generation system that is composed of SPoT, a trainable sentence planner, and FERGUS, a stochastic surface realizer. We show how these stochastic NLG components can be made to work together, that they can be ported to new domains with apparent ease, and that such NLG components can be integrated in a real-time dialog system.
John Chen, Srinivas Bangalore, Owen Rambow, Marily
Added 17 Dec 2010
Updated 17 Dec 2010
Type Journal
Year 2002
Where COLING
Authors John Chen, Srinivas Bangalore, Owen Rambow, Marilyn A. Walker
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