TOPIC FOCUSED RELATED ENTITY EXTRACTION

Patent №

US 11,809,477

Granted

2023-11-07

Filed 2022

Owner

INTUIT INC.

Lab

AI components

4

ml · nlp · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17994854

This disclosure relates to extracting entities from unstructured text. The unstructured text is segmented into structured segments with one or more instances, that belong to different topics, with a topic segmentation model. Each instances of the structured segment is operated on by an entity extraction model to extract entities, and the extracted entities associated with each topic is produced in a computer-readable format. The relations between extracted entities associated with each topic may be identified.

Machine learningNatural languageKnowledge representationAI hardwareG06F 16/38G06N 20/00G06F 40/279G06F 40/295G06F 40/30G06N 3/045G06N 3/096

AI classification

Natural language1.00
Machine learning1.00
Knowledge representation1.00
AI hardware0.82
Planning0.05
Speech0.02
Evolutionary computation0.01
Vision0.00

Ownership

INTUIT INC.

assignment · 618910928

Assignors

GHOSH, PALLABI, GUPTA, SPARSH

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

© 2026 NYSGPT2525 LLC