Extracting Veiled Meaning in Natural Language Content

Patent №

US 9,760,564

Granted

2017-09-12

Filed 2015

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

6

ml · nlp · speech · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14795240

Mechanisms for identifying hidden meaning in a portion of natural language content are provided. A primary portion of natural language content is received and a secondary portion of natural language content is identified that references the natural language content. The secondary portion of natural language content is analyzed to identify indications of meaning directed to elements of the primary portion of natural language content. A probabilistic model is generated based on the secondary portion of natural language content modeling a probability of hidden meaning in the primary portion of natural language content. A hidden meaning statement data structure is generated for the primary portion of natural language content based on the probabilistic model.

AI classification

Natural language1.00
Machine learning1.00
Knowledge representation0.99
Planning0.99
Speech0.99
AI hardware0.94
Evolutionary computation0.00
Vision0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 360450893

Assignors

BYRON, DONNA K., JOHNSON, BENJAMIN L., KRISHNAMURTHY, LAKSHMINARAYANAN, KUMMAMURU, KRISHNA, WINKLER, TIMOTHY P.

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

From the same owner

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