A History-Taking System that Uses Continuous Speech Recognition

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Citation: Kevin Johnson and Alex Poon and Smadar Shiffman and Richard Lin and Lawrence M. Fagan. (1992) A History-Taking System that Uses Continuous Speech Recognition. In , 1992.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Kevin Johnson and Alex Poon and Smadar Shiffman and Richard Lin and Lawrence M. Fagan
title A History-Taking System that Uses Continuous Speech Recognition
number KSL-92-23
institution Knowledge Systems, AI Laboratory
address Washington D.C.
year 1992
Bibtex more
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abstract Q-MED is an automated history-taking system that uses speaker independent continuous speech as its main interface modality. Q-MED is designed to allow a patient to enter her basic symptoms by engaging in a dialog with the program. Error-recovery mechanisms help to eliminate findings resulting from misrecognitions or incorrect parses. An evaluation of the natural language parser that Q-MED uses to map user utterances to findings showed an overall semantic accuracy of 87 percent; Q-MED asks more specific questions to capture findings that were not volunteered, or that were unable to be parsed in their initial, open-ended form.

KSL Technical Report ID: KSL-92-23
Facts about A History-Taking System that Uses Continuous Speech RecognitionRDF feed
Abstract Q-MED is an automated history-taking syste Q-MED is an automated history-taking system that uses speaker independent continuous speech as its main interface modality. Q-MED is designed to allow a patient to enter her basic symptoms by engaging in a dialog with the program. Error-recovery mechanisms help to eliminate findings resulting from misrecognitions or incorrect parses. An evaluation of the natural language parser that Q-MED uses to map user utterances to findings showed an overall semantic accuracy of 87 percent; Q-MED asks more specific questions to capture findings that were not volunteered, or that were unable to be parsed in their initial, open-ended form. parsed in their initial, open-ended form.
Address Washington D.C.  +
Author Kevin Johnson and Alex Poon and Smadar Shiffman and Richard Lin and Lawrence M. Fagan  +
Bibtype techreport  +
Has author Kevin Johnson and Alex Poon and Smadar Shiffman and Richard Lin and Lawrence M. Fagan  +
Has identifier KSL-92-23  +
Has publishing details 1992  +
Has title A History-Taking System that Uses Continuous Speech Recognition  +
Has year 1992  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-92-23  +
Number KSL-92-23  +
Process note YES  +
Title A History-Taking System that Uses Continuous Speech Recognition  +
Year 1992  +
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