Paper: Towards Automatic Generation Of Natural Language Generation Systems

ACL ID C02-1138
Title Towards Automatic Generation Of Natural Language Generation Systems
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2002
Authors

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 lan- guage generation components that can produce quality output e ciently. We conduct experi- ments 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 FER- GUS, 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.