Artificial Intelligence

NL Seminar-"Leveraging Context for Natural Language Processing"

Thursday, January 16, 2020, 11:00am - 12:00pm PDTiCal
6th Floor-CR#689
This event is open to the public.
NL Seminar
Samee Ibraheem (UC Berkeley)

Abstract: Neural networks have allowed for a host of advances in natural language processing, from text classification to machine translation. However, the effects of contextual information, such as speaker gender or race, on NLP tasks is still an active area of research. In this talk, we first explore how such context can affect an NLP system’s accuracy. Next, we investigate methods for incorporating additional context into a machine translation system. Finally, we investigate methods for collecting additional contextual information when the signal is sparse.

Bio: Samee Ibraheem is a PhD student in Computer Science at UC Berkeley working with John DeNero on incorporating context for NLP applications. He received a Bachelor’s in Neurobiology from Harvard University and is currently supported by an NSF Fellowship.

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