Summer 2023 Computer Science W4705 section 002

NATURAL LANGUAGE PROCESSING

NATURAL LANGUAGE PROCESSI

Call Number 10977
Day & Time
Location
TR 4:10pm-7:20pm
To be announced
Points 3
Grading Mode Standard
Approvals Required None
Instructor Daniel Bauer
Type LECTURE
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
Subterm 07/03-08/11 (B)
Department Computer Science
Enrollment 61 students (120 max) as of 9:05PM Thursday, March 28, 2024
Subject Computer Science
Number W4705
Section 002
Division Interfaculty
Campus Morningside
Section key 20232COMS4705W002