LIN X53D LIN 353D Computational Discourse and Natural Language Generation 3 Hours
3 Lecture Hours 0 Lab Hours
Introduction to machine learning models for discourse processing and text generation. Explore open issues in NLG, including evaluation, ethics, and factuality. Three lecture hours a week for one semester.
Pre/Corequisites: Linguistics 350 (Topic 12), Computer Science 303E, 312, or basic programming experience in Python or similar languages; and basic knowledge of probability and statistics.
Grading: Student Option
Repeatable for credit: No
Academic Level: Upper Division