TRIPs: an integrated intelligent problem-solving assistant
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
An architecture for a generic dialogue shell
Natural Language Engineering
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In this report we describe an experiment designed to: evaluate the performance of the TRAINS-96 system as a whole; examine the utility of a new robust post-parser module, recently added to the TRAINS system; and explore the benefit to the user of receiving system feedback on speech input. The evaluation uses the same task-based methodology as was used for the TRAINS-95 evaluation [Sikorski and Allen 96], in which the user and computer cooperatively solve a given problem. Success is measured in terms of task performance measures such as time to completion of a task, and the quality of the final plan produced.