Language Technology Seminar Series
Question Answering R&D at Microsoft
TJ Hazen, Microsoft Research
Friday, February 9 at 3:30
Natural language processing technology for open ended question answering tasks is now readily available to anyone with internet access using web sites such as Bing or Google. This talk will present a general overview of how question answering inside of Microsoft Bing works and discuss techniques used to expand and improve Bing’s question answering capabilities. The talk will also discuss recent advances in deep learning modeling techniques to perform open ended machine reading comprehension and question answering tasks.
TJ Hazen is a Principal Research Manager with Microsoft Research where his current work is focused on the tasks of machine reading comprehension and question answering. Prior to joining Microsoft in 2013, TJ was a Research Scientist at MIT where he spent six years as a member of the Human Language Technology Group at MIT Lincoln Laboratory and nine years as a Research Scientist at the MIT Computer Science and Artificial Intelligence Laboratory. TJ holds S.B., S.M., and Ph.D. degrees in Electrical Engineering and Computer Science from MIT.