CS 859A (01) - Natural Language Processing

Natural Language Processing

Durham   Engineering&Physical Sciences :: Computer Science
Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 56683
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. Data structures and statistics required prior to taking this course.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Cross listed with : CS 759.01
Instructors: Samuel Carton

Times & Locations

Start Date End Date Days Time Location
1/23/2024 5/6/2024 TR 3:40pm - 5:00pm KING N101
Final Exam 5/15/2024 5/15/2024 W 1:00pm - 3:00pm KING N101