Introduction to the fundamental techniques and models of modern natural language processing. Topics include: word embedding, language models, machine translation, self- attention and transformer, question answering, and pre- trained models. Includes: Experiential Learning Activity Prerequisite(s): COMP 3105 and (MATH 1104 or MATH 1107). Lectures three hours a week. [0.5 credits]
Introduction to the fundamental techniques and models of modern natural language processing. Topics include: word embedding, language models, machine translation, self- attention and transformer, question answering, and pre- trained models. Includes: Experiential Learning Activity Prerequisite(s): COMP 3105 and (MATH 1104 or MATH 1107). Lectures three hours a week. [0.5 credits]
