Methods and Systems for Classifying Data Using a Hierarchical Taxonomy

Patent №

US 9,946,783

Granted

2018-04-17

Filed 2016

Owner

GOOGLE INC.

AI components

6

ml · nlp · vision · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15153097

A method and system for classifying documents is provided. A set of document classifiers is generated by applying a classification algorithm to a trusted corpus that includes a set of training documents representing a taxonomy. One or more of the generated document classifiers are executed against a plurality of input documents to create a plurality of classified documents. Each classified document is associated with a classification within the taxonomy and a classification confidence level. One or more classified documents that are associated with a classification confidence level below a predetermined threshold value are selected to create a set of low-confidence documents. The low-confidence documents are disassociated from each of the associated classifications. A user is prompted to enter a classification within the taxonomy for at least one low-confidence document. The low-confidence document is associated with the entered classification and with a predetermined confidence level to create a newly classified document.

Machine learningNatural languageVisionKnowledge representationPlanningAI hardwareG06F 16/285G06F 16/353G06F 16/93G06N 7/01G06N 20/00G06Q 10/00G06N 5/022

AI classification

Natural language1.00
Planning1.00
Machine learning1.00
Vision1.00
Knowledge representation1.00
AI hardware1.00
Evolutionary computation0.00
Speech0.00

Ownership

GOOGLE INC.

assignment · 389990367

Assignors

LEWIS, GLENN M., BURYAK, KIRILL, BEN-ARTZI, ANER, PENG, JUN, BENBARAK, NADAV

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

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