CS 880 (01) - Topics


Durham   Engineering&Physical Sciences :: Computer Science
Credits: 3.0
Term: Spring 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 56210
Material not normally covered in regular course offerings. May be repeated.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Instructors: Samuel Carton

Times & Locations

Start Date End Date Days Time Location
1/24/2023 5/8/2023 TR 3:40pm - 5:00pm PARS NB22
Additional Course Details: 

This class covers natural language processing, including both methods and well-known applications. Methods discussed will range from classical probabilistic methods such as Naive Bayes and Hidden Markov Models, to contemporary neural network methods, including word vector models, recurrent neural networks, and Transformer-based models. Applications discussed will include text classification, machine translation, and conversation systems (among others). Prerequisites: CS 515, Math 539 or 644 A preliminary syllabus can be found at: https://shcarton.github.io/cs780spring2023/