Machine reading comprehension with Dr. T.J Hazen
Episode 86 | August 21, 2019
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.
See more at https://www.microsoft.com/en-us/research/blog/category/podcast/
Видео Machine reading comprehension with Dr. T.J Hazen канала Microsoft 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.
See more at https://www.microsoft.com/en-us/research/blog/category/podcast/
Видео Machine reading comprehension with Dr. T.J Hazen канала Microsoft Research
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
The Intern Experience at Microsoft Research CambridgeDirections in ML: Taking Advantage of Randomness in Expensive Optimization ProblemsBattling Tuberculosis Using Microsoft TechnologyFast and Flexible Multi-Task Classification Using Conditional Neural Adaptive ProcessesDesign and Evaluation of Effective, Interactive, and Interpretable Machine LearningKeynote: Systems Research - Fueling Future DisruptionsData Visualization Reaches New Heights with LayerscapeProvably efficient reinforcement learning with Dr. Akshay Krishnamurthy | PodcastFaculty Summit 2018 IntroductionStructured light: seeing less to see more in optical microscopyAugmenting Visualization Tools with Automated Design & RecommendationGeek Heresy: Rescuing Social Change from the Cult of TechnologyModels as Code: Differentiable Programming with ZygoteAI-Powered Speech TranslationSirius: A Flat Datacenter Network with Nanosecond Optical Switching (SIGCOMM 2020 short talk)Platform for Situated Intelligence Workshop | Day 1Cambridge lab overview with Chris BishopGet free cloud computing time and storage on Microsoft AzureAI Institute "Geometry of Deep Learning" 2019 [Workshop] Day 1 | Session 2De-Identifying Healthcare Data for ResearchSmall Deep Neural Networks - Their Advantages, and Their Design