GENERATING TEMPLATED DOCUMENTS USING MACHINE LEARNING TECHNIQUES

Patent №

US 10,691,998

Granted

2020-06-23

Filed 2016

Owner

GOOGLE INC.

AI components

7

ml · nlp · speech · kr · planning · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15385804

Systems and methods of predicting documentation associated with an encounter between attendees are provided. For instance, attendee data indicative of one or more previous visit notes associated with a first attendee can be obtained. The attendee data can be inputted into a machine-learned note prediction model that includes a neural network. The neural network can generate one or more context vectors descriptive of the attendee data. Data indicative of a predicted visit note can be received as output of the machine-learned note prediction model based at least in part on the context vectors. The predicted visit note can include a set of predicted information expected to be included in a subsequently generated visit note associated with the first attendee.

Machine learningNatural languageSpeechKnowledge representationPlanningEvolutionary computationAI hardwareG16H 15/00G06N 3/0442G06N 3/0455G06N 3/09G06N 5/022G06Q 50/22G16H 50/20G16H 50/50

AI classification

Machine learning1.00
Natural language1.00
AI hardware1.00
Planning1.00
Evolutionary computation0.99
Speech0.99
Knowledge representation0.69
Vision0.39

Ownership

GOOGLE INC.

assignment · 408590855

Assignors

PO, MING JACK, CO, CHRISTOPHER, CHOU, KATHERINE

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

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