SEMANTIC HIERARCHICAL GROUPING OF TEXT FRAGMENTS

Patent №

US 10,762,297

Granted

2020-09-01

Filed 2016

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

+1 more

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15247005

Embodiments for semantic hierarchical grouping of short text fragments by a processor. Sub-terms are extracted from a plurality of input text fragments according to a lexical sub-term hierarchy. Each of the sub-terms in the lexical sub-term hierarchy are matched with concepts based on an ontology of concepts representing a domain knowledge. The input text fragments are automatically grouped into a hierarchy of concepts based on the matching and a semantical relationship between each concept and matching sub-term.

Machine learningNatural languageKnowledge representationPlanningAI hardwareG06F 40/30G06F 7/02G06F 16/36G06F 16/367G06F 40/247G06F 40/284

AI classification

Natural language1.00
Knowledge representation1.00
AI hardware1.00
Planning1.00
Machine learning0.97
Speech0.21
Vision0.11
Evolutionary computation0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 395400555

UNIVERSITY COLLEGE CORK

assignment · 395400585

Assignors

DELERIS, LEA A.

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

From the same owner

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