NATURAL LANGUAGE INTERPRETATION OF HIERARCHICAL DATA

Patent №

US 10,353,936

Granted

2019-07-16

Filed 2016

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

4

ml · nlp · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15157661

A computer-implemented method includes receiving a search label and accessing a hierarchical data source comprising a plurality of nodes. One node may be a context node. The method further includes determining a similarity score between the search label and a node label of each node, determining a contextual score between the context node and each node, combining, for each node, the similarity score with the contextual score to yield a combined score, and returning a result. The result may be based on ordering the plurality of nodes according to each node's combined score. A corresponding computer program product and computer system are also disclosed.

Machine learningNatural languageKnowledge representationAI hardwareG06F 16/337G06F 16/282G06F 16/3344G06F 16/355G06F 16/9024

AI classification

Natural language1.00
AI hardware0.97
Machine learning0.94
Knowledge representation0.74
Speech0.31
Planning0.23
Vision0.04
Evolutionary computation0.01

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 386330784

Assignors

BOLAN, JAMES P., DORAN, DAVID M., KALA, NIKETH J., MOHAMMED, JUNAID Y. A.

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

From the same owner

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