Schedule of Classes — Undergraduate and Graduate / Fall 2021 / Computer Science

Instruction for this course does not require regular live meeting times (meets asynchronously).

Topic fall 2021: Designing and Implementing Natural Language Processing Systems. Prerequisites: Second-year standing in the CL MS program or instructor permission. Creating a usable, robust, and extendable NLP system is an art, requiring good programming and machine learning practices and use of the best modern tools. Students in this graduate seminar will learn to work in groups and individually to produce high-quality NLP systems implemented in Python. Topics include best practices for writing NLP systems in Python, how to efficiently work in teams to design, implement, review, and integrate NLP components, how to encapsulate systems using containerization and web service frameworks, and how to distribute packaged systems. For the course’s final project, each student will work on a portfolio project NLP system that will include a demo-able web service.