Séminaire DIC-ISC-CRIA du 21 janvier with Cynthia Matuszek
Channel: Institut des sciences cognitives - UQAM
Date: 2021-01-22

Séminaire DIC-ISC-CRIA - 21 janvier 2021

"Grounded Language Acquisition" by Cynthia Matuszek

Summary: How to extract semantically meaningful representations of human language by mapping those representations to the noisy, unpredictable physical world in which robots operate? Probabilistic, grammar-based natural language processing can be combined with machine learning to transform human communication into a formal language that a robot can understand, resulting in systems that non-specialists can instruct, control, and interact with intuitively and naturally

Bio: Cynthia Matuszek joined the Computer Science and Electrical Engineering department at University of Maryland BC as in autumn of 2014, where she founded the Interactive Robotics and Language Lab, which studies how robots can use language learning to learn to follow instructions or learn about the world. This not only makes robots more useful, but also demonstrates the power of combining robotics with natural language processing. Our work overlaps with the field of HRI, or human-robot interaction.