CS 546
CS 546 - Advanced Topics in Natural Language Processing
Spring 2020
| Title | Rubric | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
|---|---|---|---|---|---|---|---|---|---|
| Machine Learning in NLP | CS546 | S | 48178 | LEC | 4 | 1530 - 1645 | W F | 1310 Digital Computer Laboratory | Julia Hockenmaier |
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Official Description
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. Course Information: Prerequisite: CS 446 and CS 473.