SYSTEM AND METHOD FOR EXTRACTING INFORMATION FROM UNSTRUCTURED TEXT

Patent №

US 10,002,129

Granted

2018-06-19

Filed 2017

Owner

WIPRO LIMITED

Lab

AI components

5

ml · nlp · speech · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15474194

This disclosure relates generally to natural language processing, and more particularly to a system and method for extracting subject-verb-object (SVO) chunked text from an unstructured text. In one embodiment, a method is provided for extracting SVO chunked text from an unstructured text. The method comprises identifying a plurality of part of speech (PoS) tokens in the unstructured text, and determining a plurality of SVO chunked text directly from the plurality of PoS tokens using a machine learning chunker model. The machine learning chunker model is trained on a subject-verb-object (SVO) annotated training data.

AI classification

Natural language1.00
Speech1.00
Machine learning1.00
AI hardware1.00
Planning0.72
Vision0.03
Knowledge representation0.02
Evolutionary computation0.00

Ownership

WIPRO LIMITED

assignment · 422740206

Assignors

D'SOUZA, SHAUN CYPRIAN

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

From the same owner

© 2026 NYSGPT2525 LLC