Winter 2022
Meeting:
TTh 1:00pm - 2:20pm / MGH 241
SLN:
16717
Section Type:
Lecture
Joint Sections:
LING 572 C , LING 572 D , LING 572 A
Instructor:
FOR LINGUISTICS GRADUATE STUDENTS
ONLY
CONTACT INSTRUCTOR FOR ADD CODE.
Catalog Description:
Covers several important machine learning algorithms for natural language processing including decision tree, kNN, Naive Bayes, transformation-based learning, support vector machine, maximum entropy and conditional random field. Students implement many of the algorithms and apply these algorithms to some NLP tasks." Prerequisite: LING 570. Offered: W.
Credits:
4.0
Status:
Active
Last updated:
December 18, 2024 - 2:10 am