Spring 2022
Meeting:
MW 1:00pm - 2:20pm / SMI 407
SLN:
16572
Section Type:
Lecture
Joint Sections:
LING 575 J , LING 575 K
Instructor:
DEEP LEARNING FOR NATURAL LANGUAGE
PROCESSING
THE APPLICATION OF NEURAL NETWORK
METHODS---UNDER THE NAME "DEEP
LEARNING"---HAS LED TO BREAKTHROUGH
IN A WIDE RANGE OF FIELDS, INCLUDIN
IN BUILDING LANGUAGE TECHNOLOGIES
(E.G. FOR SEARCH, TRANSLATION, TEXT
INPUT PREDICTION). THIS COURSE WILL
PROVIDE A HANDS-ON INTRODUCTION TO
USE OF DEEP LEARNING METHODS FOR
PROCESSING NATURAL LANGUAGE. METHOD
TO BE COVERED INCLUDE STATIC WORD
EMBEDDINGS, CONVOLUTIONAL NEURAL
NETWORKS FOR TEXT, RECURRENT NEURAL
NETWORKS, TRANSFORMERS, PRE-TRAININ
AND TRANSFER LEARNING, WITH
APPLICATIONS INCLUDING PARSING,
TRANSLATION, AND GENERATION.
Catalog Description:
In-depth study of a particular area of computational linguistics, with hands-on experience. Prerequisite: LING 570 and 571, or permission of instructor. Offered: WSp.
Credits:
3.0
Status:
Active
Last updated:
November 15, 2024 - 4:13 am