The Messy Yet Exciting World of Semantic Parsing
Offered By: Toronto Machine Learning Series (TMLS) via YouTube
Course Description
Overview
Explore the fascinating realm of semantic parsing in this 33-minute talk by Dr. Federico Fancellu, Senior Research Scientist in NLP at Samsung AI Toronto. Delve into the complexities of automatically extracting meaning from natural language input, a prolific yet challenging area of NLP research. Gain insights into the current state of semantic parsing, its challenges, and future opportunities. Discover why defining and representing meaning in natural language can be both messy and exciting. Learn from Dr. Fancellu's extensive background in linguistics and his research on extracting complex aspects of meaning, such as negation, from natural language. Understand the connection between semantic parsing and open-domain conversational AI, drawing from the speaker's experience leading the University of Edinburgh team in the first Amazon Alexa challenge.
Syllabus
The Messy Yet Exciting World of Semantic Parsing
Taught by
Toronto Machine Learning Series (TMLS)
Related Courses
Miracles of Human Language: An Introduction to LinguisticsLeiden University via Coursera Language and Mind
Indian Institute of Technology Madras via Swayam Text Analytics with Python
University of Canterbury via edX Playing With Language
TED-Ed via YouTube Computational Language: A New Kind of Science
World Science U