MARKOV-BASED SEQUENCE TAGGING USING NEURAL NETWORKS

Patent №

US 9,600,764

Granted

2017-03-21

Filed 2014

Owner

AMAZON TECHNOLOGIES, INC.

AI components

6

ml · nlp · vision · speech · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14307412

Features are disclosed for using a neural network to tag sequential input without using an internal representation of the neural network generated when scoring previous positions in the sequence. A predicted or determined label (e.g., the highest scoring or otherwise most probable label) for input at a given position in the sequence can be used when scoring input corresponding to the next position the sequence. Additional features are disclosed for training a neural network for use in tagging sequential input without using an internal representation of the neural network generated when scoring previous positions the sequence.

AI classification

Machine learning1.00
AI hardware1.00
Natural language1.00
Vision0.99
Knowledge representation0.99
Speech0.99
Evolutionary computation0.01
Planning0.00

Ownership

AMAZON TECHNOLOGIES, INC.

assignment · 371890499

Assignors

RASTROW, ARIYA, MATSOUKAS, SPYROS, GARIMELLA, SRI VENKATA SURYA SIVA RAMA KRISHNA, STRÖM, NIKKO, HOFFMEISTER, BJORN

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

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