WCOMS4705-2: Natural Language Processing for Spring 2018

Days and Time

Mondays and Wednesdays 10:10 AM-11:25 AM

Allowed For:

  • Undergraduate
  • Masters
  • Professional
  • PhD

Prerequisites:

COMS W3133, or W3134, or W3137, or W3139, or permission of the instructor.

Notes:

None

Instructor:

Bauer, Daniel

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.