Thu, Jan 16, 2020 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Samee Ibraheem , UC Berkeley
Talk Title: Leveraging Context for Natural Language Processing
Series: Natural Language Seminar
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 systems 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.
Biography: 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 Bachelors in Neurobiology from Harvard University and is currently supported by an NSF Fellowship.
Host: Emily Sheng
More Info: https://nlg.isi.edu/nl-seminar
WebCast Link: https://bluejeans.com/s/GDWdF/
Audiences: Everyone Is Invited
Contact: Peter Zamar