QUERY CLASSIFICATION FOR APPROPRIATENESS

Patent №

US 10,936,945

Granted

2021-03-02

Filed 2016

Owner

MICROSOFT TECHNOLOGY LICENSING, LLC

AI components

6

ml · nlp · vision · speech · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15174188

Non-limiting examples of the present disclosure describe query classification to identify appropriateness of a query. A query may be received by at least one processing device. A deep neural network (DNN) model may be applied to evaluate the query. A vector representation may be generated for query based on application of the DNN model, where the DNN model is trained to classify queries according to a plurality of categories of appropriateness. The DNN model may be utilized to classify the query in a category of appropriateness based on analysis of the vector representation. In one example, auto-complete suggestions for the query may be filtered based on the classification of the category of appropriateness. In another example, classification of the query may be provided to an entry point. In yet another example, a response to the query is managed based on the classification of the query. Other examples are also described.

Machine learningNatural languageVisionSpeechPlanningAI hardwareG06F 16/9532G06F 16/285G06F 16/90324G06F 16/9535G06N 3/0499G06N 3/08G06N 3/09

AI classification

Machine learning1.00
Natural language1.00
Planning1.00
AI hardware0.98
Vision0.94
Speech0.79
Knowledge representation0.31
Evolutionary computation0.00

Ownership

MICROSOFT TECHNOLOGY LICENSING, LLC

assignment · 388180849

Assignors

SANTOS, JOSE CARLOS ALMEIDA, ARNOLD, PAUL DAVID, ROPER, WARD FARQUHAR, GUPTA, PARTH

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

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