2018-19 Fall - MATH4824B - Machine Learning for Natural Language Processing

Course

Description

This course provides an introduction to statistical machine learning algorithms for natural language processing and using programming tools such as Python (including packages such as NLTK and Tensorflow) to implement them for real problems. It will use some of the following practical problems such as text classification, information extraction, sequence modeling, text inference, QA system, etc. as illustrations to demonstrate the power of the statistical learning algorithms.
Course period1/09/1831/12/18
Course levelUG
Course formatLecture