Natural language processing (NLP) is a subfield of artificial intelligence concerned with the interactions between computers and human languages. This course is an introduction to NLP, with the emphasis on writing programs to process and analyze texts, covering both foundational aspects and applications of NLP. The course aims at a balance between classical and statistical methods for NLP, including methods based on machine learning. Prerequisites: 201 or 275, and any 300-level Computing Science course.
| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
|
LECTURE A1
(88710) |
60 |
2023-09-05 - 2023-12-08 (TR)
15:30 - 16:50
CAB 235
Final Exam: 2023-12-13
09:00 - 12:00
CCIS L1-140
|
Primary Instructor: Carrie Demmans Epp
|
| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
|
LAB D01
(88711) |
60 |
No scheduled class times |
|