Creating Robust Language Representations with Jamie Macbeth - #477

Published: April 21, 2021, 9:11 p.m.

b'Today we\\u2019re joined by Jamie Macbeth, an assistant professor in the department of computer science at Smith College.\\xa0\\n In our conversation with Jamie, we explore his work at the intersection of cognitive systems and natural language understanding, and how to use AI as a vehicle for better understanding human intelligence. We discuss the tie that binds these domains together, if the tasks are the same as traditional NLU tasks, and what are the specific things he\\u2019s trying to gain deeper insights into.\\n One of the unique aspects of Jamie\\u2019s research is that he takes an \\u201cold-school AI\\u201d approach, and to that end, we discuss the models he handcrafts to generate language. Finally, we examine how he evaluates the performance of his representations if he\\u2019s not playing the SOTA \\u201cgame,\\u201d what he bookmarks against, identifying deficiencies in deep learning systems, and the exciting directions for his upcoming research.\\xa0\\n The complete show notes for this episode can be found at https://twimlai.com/go/477.'