CS 546
CS 546 - Machine Learning in NLP
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 Constanze Hockenmaier |
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.
Subject Area
Robotics, Vision, and Artificial Intelligence