SCORING UNFIELDED PERSONAL NAMES WITHOUT PRIOR PARSING

Patent №

US 9,535,903

Granted

2017-01-03

Filed 2015

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

3

ml · nlp · kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14685587

A system for determining a similarity between a name phrase and a comparison name phrase, for each name in the name phrase, scores the name. The scoring is based on the field frequency of the name in a name database, where the field frequency indicates a given name frequency and/or a surname frequency in the database. The system uses the scoring to determine a transition from a given name to a surname in the name phrase. The system determines a primary given name and a primary surname in the name phrase based on the scoring and the transition. The system uses the primary given name and primary surname to determine a similarity between the name phrase and a comparison name phrase, where the comparison name phrase comprises a comparison given name and a comparison surname.

Machine learningNatural languageKnowledge representationG06F 40/40G06F 16/24578G06F 40/295G06F 40/30G06F 16/285

AI classification

Natural language1.00
Machine learning1.00
Knowledge representation0.64
Evolutionary computation0.14
Vision0.11
AI hardware0.09
Speech0.00
Planning0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 354050116

Assignors

PATMAN MAGUIRE, FRANKIE E.

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

From the same owner

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