TRAINING A DIALOG SYSTEM USING USER FEEDBACK

Patent №

US 9,679,568

Granted

2017-06-13

Filed 2012

Owner

GOOGLE INC.

AI components

6

ml · nlp · speech · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13668603

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a dialog system using user feedback. According to one implementation, a method includes receiving, by a dialog engine, a first input that specifies a question; providing, by the dialog engine, an answer to the question; receiving, by the dialog engine, a second input; and determining, by the dialog engine, that the second input is classified as feedback to the answer, then determining a feedback score associated with the second input.

Machine learningNatural languageSpeechKnowledge representationPlanningAI hardwareG10L 15/30G06F 16/9535G10L 15/22G06F 16/3337H04M 3/493H04M 3/4938

AI classification

Natural language1.00
Speech1.00
Machine learning1.00
Planning1.00
Knowledge representation0.99
AI hardware0.97
Evolutionary computation0.08
Vision0.00

Ownership

GOOGLE INC.

assignment · 304170588

Assignors

TAUBMAN, GABRIEL, HOGUE, ANDREW W., LEE, JOHN J.

On an employer assignment, the assignors are typically the inventors.

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