Aggregating Procedures for Automatic Document Analysis

Patent №

US 11,676,231

Granted

2023-06-13

Filed 2020

Owner

LEE & HAYES, PLLC

+2 more

AI components

6

ml · nlp · kr · planning · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16733656

This disclosure describes, in part, techniques for performing automatic document analysis. For instance, one or more computing devices may obtain a plurality of documents for analysis. The one or more computing devices may then analyze the documents to determine a respective comparative breadth score representing a breadth of each document, a respective comparative portion count score representing a number of documents portions included in each document, and a respective comparative differentiation score representing differentiation between the documents portions included in each document. In some instances, the one or more computing devices determine each of the scores based on comparing the respective breadth, respective number of document portions, and respective differentiation for each of the documents under analysis. The one or more computing devices can then determine a comprehensive score for each document using the respective scores, and generate a user interface that includes the overall scores.

Machine learningNatural languageKnowledge representationPlanningEvolutionary computationAI hardwareG06F 16/338G06Q 50/184G06F 16/164G06F 16/906G06F 16/93G06F 40/131G06F 40/194G06F 40/284

AI classification

Natural language1.00
Planning1.00
Knowledge representation0.98
AI hardware0.94
Evolutionary computation0.88
Machine learning0.63
Vision0.02
Speech0.00

Ownership

LEE & HAYES, PLLC

assignment · 533330732

AON RISK SERVICES, INC. OF MARYLAND

assignment · 533330765

GOOGLE LLC

assignment · 541330543

Assignors

CROUSE, DANIEL, BRADLEY, III, JOHN E., LEE, LEWIS C.

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

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