T.J. Hazen's guest appearances

T.J. Hazen

Microsoft Research Podcast

Chris White

Max Welling

Peter Lee

Peyton Jones

Kevin Scott

Amos Miller

Brad Smith

Nathalie Riche

Ben Zorn

Layla El Asri

Desmond Patton

Mark Hamilton

Jennifer Chayes

Andy Gordon

David Rothschild

OwlTail

The ability to read and understand unstructured text, and then answer questions about it, is a common skill among literate humans. But for machines? Not so much. At least not yet! And not if Dr. T.J. Hazen, Senior Principal Research Manager in the Engineering and Applied Research group at MSR Montreal, has a say. He’s spent much of his career working on machine speech and language understanding, and particularly, of late, machine reading comprehension, or MRC. On today’s podcast, Dr. Hazen talks about why reading comprehension is so hard for machines, gives us an inside look at the technical approaches applied researchers and their engineering colleagues are using to tackle the problem, and shares the story of how an a-ha moment with a Rubik’s Cube inspired a career in computer science and a quest to teach computers to answer complex, text-based questions in the real world. https://microsoft.com/research

The ability to read and understand unstructured text, and then answer questions about it, is a common skill among literate humans. But for machines? Not so much. At least not yet! And not if Dr. T.J. Hazen, Senior Principal Research Manager in the Engineering and Applied Research group at MSR Montreal, has a say. He’s spent much of his career working on machine speech and language understanding, and particularly, of late, machine reading comprehension, or MRC. On today’s podcast, Dr. Hazen talks about why reading comprehension is so hard for machines, gives us an inside look at the technical approaches applied researchers and their engineering colleagues are using to tackle the problem, and shares the story of how an a-ha moment with a Rubik’s Cube inspired a career in computer science and a quest to teach computers to answer complex, text-based questions in the real world. <a href="https://microsoft.com/research" rel="nofollow" target="_blank">https://microsoft.com/research</a>

086 - Machine reading comprehension with Dr. T.J. Hazen