COMS W4705: About

Gilbert Street
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Instructor: Michael Collins

Course Description:

COMS W4705 is a graduate introduction to natural language processing, the study of human language from a computational perspective. We will cover syntactic, semantic and discourse processing models. The emphasis will be on machine learning or corpus-based methods and algorithms. We will describe the use of these methods and models in applications including syntactic parsing, information extraction, statistical machine translation, dialogue systems, and summarization.

Problem sets:

There were will be 4 problem sets during the class, due roughly every three weeks. The problem sets will include both theoretical problems and programming assignments.

Exams:

There will be a midterm and a final in the class. The midterm will be in class in mid October.

Grading:

The overall grade will be determined roughly as follows: Midterm 25%, Final 40%, Problem sets 35%.

Syllabus:

Here is a tentative syllabus for class:

Readings:

Course readings will be available either on the web or in-class handouts. There is no textbook for the class, but Jurafsky and Martin, Speech and Language Processing, 2nd Edition, will provide useful background for several of the lectures.