EXTRACTING COMPLEX ENTITIES AND RELATIONSHIPS FROM UNSTRUCTURED DATA

Patent №

US 9,569,733

Granted

2017-02-14

Filed 2015

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14627430

To extract relationships between complex entities from unstructured data, a parser parses, using an existing language model, the unstructured data to generate a parse tree. From the parse tree, a set of tokens is created. A token in the set of tokens includes a set of words found in the unstructured data. The set of tokens is inserted in the existing language model to form an enhanced language model. The unstructured data is re-parsed using the enhanced language model to create a knowledge graph. From the knowledge graph, a relationship between a subset of the set of tokens is extracted.

Machine learningNatural languageKnowledge representationPlanningAI hardwareG06F 16/35G06F 16/316G06F 16/322G06F 16/36G06F 16/9024G06F 40/205G06F 40/284G06F 40/40+2 more

AI classification

Natural language1.00
Knowledge representation1.00
Machine learning1.00
Planning1.00
AI hardware0.99
Speech0.04
Evolutionary computation0.00
Vision0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 349950147

Assignors

NASSAR, AHMED M.A., ODEYEMI, VICTORIA O., OMAR, EMAN, TRIM, CRAIG M.

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

From the same owner

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