Fall 2023 Computer Science W4705 section 032

NATURAL LANGUAGE PROCESSING

NATURAL LANGUAGE PROCESSI

Call Number 16894
Day & Time
Location
W 7:00pm-9:30pm
717 Hamilton Hall
Points 3
Grading Mode Standard
Approvals Required None
Instructor Andrei A Simion
Type LECTURE
Method of Instruction In-Person
Course Description

Computational approaches to natural language generation and understanding. Recommended preparation: some previous or concurrent exposure to AI or Machine Learning. Topics include information extraction, summarization, machine translation, dialogue systems, and emotional speech. Particular attention is given to robust techniques that can handle understanding and generation for the large amounts of text on the Web or in other large corpora. Programming exercises in several of these areas.

Web Site Vergil
Department Computer Science
Enrollment 59 students (80 max) as of 11:44PM Monday, June 16, 2025
Subject Computer Science
Number W4705
Section 032
Division Interfaculty
Section key 20233COMS4705W032