CS 546

Spring 2020 Part of Term 1

Part of Term 1
Jan 21-May 6

Machine Learning in NLP

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Credit: 4 hours.

Central learning frameworks and techniques that have emerged in the field of natural language processing and found applications in several areas in text and speech processing: from information retrieval and extraction, through speech recognition to syntax, semantics and language understanding related tasks. Examination of the theoretical paradigms -- learning theoretic, probabilistic, and information theoretic -- and the relations among them, as well as the main algorithmic techniques developed within each paradigm and in key natural language applications.

Prerequisite: CS 446 and CS 473.

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CS 546 class schedule data for spring 2020
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	48178	Lecture	S	3:30PM -4:45PM	WF	Digital Computer Laboratory	Hockenmaier, J	Part of Term: 1 Date Range: 01/21/20-05/06/20 Credit: 4 hours Restriction(s): Restricted to Graduate - Urbana-Champaign.