Patent №
US 10,936,945
Granted
2021-03-02
Filed 2016
Owner
MICROSOFT TECHNOLOGY LICENSING, LLC
Lab
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.
AI classification
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.