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.
There were will be 4 problem sets during the class, due roughly every
three weeks. The problem sets will include both theoretical problems and
There will be a midterm and a final in the class.
The midterm will be in class in mid March.
The overall grade will be determined roughly as follows:
Midterm 25%, Final 40%, Problem sets 35%.
The syllabus will be similar to the sequence of topics covered
in the Spring 2019 version of the class.
There are comprehensive notes for the class, posted