Evaluation of the CMU ATIS system
HLT '91 Proceedings of the workshop on Speech and Natural Language
The CMU air travel information service: understanding spontaneous speech
HLT '90 Proceedings of the workshop on Speech and Natural Language
Multiple approaches to robust speech recognition
HLT '91 Proceedings of the workshop on Speech and Natural Language
The Application of Semantic Classification Trees to Natural Language Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
DARPA February 1992 ATIS benchmark test results
HLT '91 Proceedings of the workshop on Speech and Natural Language
Multiple approaches to robust speech recognition
HLT '91 Proceedings of the workshop on Speech and Natural Language
Learning speech semantics with keyword classification trees
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
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The Air Traffic Information Service task is currently used by DARPA as a common evaluation task for Spoken Language Systems. This task is an example of open type tasks. Subjects are given a task and allowed to interact spontaneously with the system by voice. There is no fixed lexicon or grammar, and subjects are likely to exceed those used by any given system. In order to evaluate system performance on such tasks, a common corpus of training data has been gathered and annotated. An independent test corpus was also created in a similar fashion. This paper explains the techniques used in our system and the performance results on the standard set of tests used to evaluate systems.