COMPUTING NUMERIC REPRESENTATIONS OF WORDS IN A HIGH-DIMENSIONAL SPACE

Patent №

US 10,241,997

Granted

2019-03-26

Filed 2017

Owner

GOOGLE INC.

AI components

6

ml · nlp · vision · speech · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15682374

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for computing numeric representations of words. One of the methods includes obtaining a set of training data, wherein the set of training data comprises sequences of words; training a classifier and an embedding function on the set of training data, wherein training the embedding function comprises obtained trained values of the embedding function parameters; processing each word in the vocabulary using the embedding function in accordance with the trained values of the embedding function parameters to generate a respective numerical representation of each word in the vocabulary in the high-dimensional space; and associating each word in the vocabulary with the respective numeric representation of the word in the high-dimensional space.

AI classification

Machine learning1.00
Natural language1.00
Speech1.00
Vision1.00
AI hardware1.00
Knowledge representation0.98
Evolutionary computation0.02
Planning0.00

Ownership

GOOGLE INC.

assignment · 433560340

Assignors

MIKOLOV, TOMAS, CHEN, KAI, CORRADO, GREGORY S., DEAN, JEFFREY A.

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

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