Module code: ECS7033P
Credits: 15.0
Semester: SEM2
Contact: Prof Matthew Purver
Prerequisite: Before or while taking this module you must take ECS763P and take ECS7001P
Conversational agents (aka dialogue systems or chatbots) have become one of the most popular and practical applications of AI and NLP: we use them to book tickets over the phone, resolve technical support issues, and answer our questions online. This module provides a thorough introduction to methods for building conversational systems, from rule-based expert systems to neural networks based on large language models; explains the unique challenges that conversational interaction poses for NLP; and looks at key open challenges such as speech, multimodality and real-time interaction.
Connected course(s): UDF DATA
Assessment: 100.0% Coursework
Level: 7
