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 | |
| Access Paper | |
| 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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