Machine Learning for Language Understanding

This course covers widely-used machine learning methods for language understanding—with a special focus on machine learning methods based on artificial neural networks—and culminates in a substantial final project in which students write an original research paper in AI or computational linguistics. If you take this class, you’ll be exposed only to a fraction of the many approaches that researchers have used to teach language to computers. However, you’ll get training and practice with all the research skills that you’ll need to explore the field further on your own. This includes not only the skills to design and build computational models, but also to design experiments to test those models, to write and present your results, and to read and evaluate results from the scientific literature.

Term

Section

Instructor

Schedule

Location

Spring 2020

1
Marina Zavalina
M: 2:00 PM - 3:15 PM 10WP 104
1
Nikita Nangia
M: 3:30 PM - 4:45 PM 10WP 104
1
Samuel Bowman
TR: 2:00 PM - 3:15 PM BOBS LL138
1
Paloma Jeretic
TR: 2:00 PM - 3:15 PM BOBS LL138