PRE-TRAINING AND/OR TRANSFER LEARNING FOR SEQUENCE TAGGERS

Patent №

US 9,875,736

Granted

2018-01-23

Filed 2015

Owner

MICROSOFT TECHNOLOGY LICENSING, LLC

AI components

5

ml · nlp · vision · speech · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14625828

Systems and methods for pre-training a sequence tagger with unlabeled data, such as a hidden layered conditional random field model are provided. Additionally, systems and methods for transfer learning are provided. Accordingly, the systems and methods build more accurate, more reliable, and/or more efficient sequence taggers than previously utilized sequence taggers that are not pre-trained with unlabeled data and/or that are not capable of transfer learning/training.

Machine learningNatural languageVisionSpeechAI hardwareG10L 15/063G06F 16/35G06F 40/289G06N 7/01G06N 20/00G10L 15/18G10L 2015/0631

AI classification

Machine learning1.00
Natural language1.00
AI hardware1.00
Speech1.00
Vision0.99
Evolutionary computation0.02
Knowledge representation0.02
Planning0.00

Ownership

MICROSOFT TECHNOLOGY LICENSING, LLC

assignment · 349820381

Assignors

KIM, YOUNG-BUM, JEONG, MINWOO, SARIKAYA, RUHI

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

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