FIELD: physics.
SUBSTANCE: group of inventions relates to language understanding classifiers models updating means. To this end, a method of updating models of language understanding classifiers, in which digital voice input is received from a user of a computing device through a microphone of a computing device. Natural language processing using voice input is used to detect user voice request. Upon establishing that the user voice request is inconsistent with one of the plurality of given voice commands in determining the personal digital assistant circuit, using the tag GUI to receive the user selection: at least one intention from a plurality of available intentions and/or at least one position for said at least one intent. Set of marked data is generated by pairing the user's voice request and user selection and is used to update the language understanding classifier.
EFFECT: technical result is higher accuracy of user commands recognition.
15 cl, 12 dwg
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DISAMBIGUATION BASED ON ACTIVE INPUT ELICITATION BY INTELLIGENT AUTOMATED ASSISTANT | 2011 |
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RU2546605C2 |
ACTIVE INPUT REQUEST BY AUTOMATED INTELLIGENT ASSISTANT | 2011 |
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RU2541208C2 |
Authors
Dates
2019-09-06—Published
2016-01-15—Filed