[Eecs_phd] FW: Graduate course announcement

Cribben, Denise cribben at ohio.edu
Wed Aug 7 10:43:15 EDT 2019

*This email is being forwarded to you at the request of Dr. Razvan Bunescu*


CS 6840: Natural Language Processing

Time and Location: Tue, Thu 9:00 - 10:20am, ARC 159
Instructor: Razvan Bunescu

Course description:
Natural Language Processing (NLP) is a branch of Artificial Intelligence concerned with developing computer systems that can process or generate natural language. Major applications of NLP include machine translation, sentiment analysis, speech recognition, information retrieval / web search engines, question answering, or information extraction. In this course, students will learn how to use modern machine learning (ML) techniques to solve fundamental NLP tasks, such as training vector-based representations of words and their meanings, document classification, syntactic parsing, language modeling, coreference resolution, entity linking, and semantic parsing.

Students are expected to be comfortable with programming in Python and have basic knowledge of formal languages (regular and context free grammars), linear algebra, probability theory and statistics. Knowledge of deep learning will be very useful, though not strictly necessary as long as the student is willing to learn. Each ML-based model will be introduced in class and relevant supplemental online materials will be provided throughout the course.

Links to online reading materials and other details are available on the course web page at:


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