CS 546
Spring 2009 All Classes
All Classes
Credit: 4 hours.
Introduction to the 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. Presents the theoretical paradigms -- learning theoretic, probabilistic, and information theoretic -- and the relations among them, as well as the main algorithmic techniques developed within these and in key natural language applications.
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
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48178
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Lecture
|
S
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9:30AM
-10:45AM
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WF
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1131 Siebel Center for Comp Sci
|
Roth, D
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