Happy Hour + Talk. UC Berkeley Prof. Hearst on Natural Language Processing

This time we will feature a happy hour and a data science lecture. We are thrilled that Prof. Marti A. Hearst (http://people.ischool.berkeley.edu/~hearst/)from UC Berkeley has agreed to talk to our group!

CAN NATURAL LANGUAGE PROCESSING BECOME NATURAL LANGUAGE COACHING?

Agenda

6:30 - 7:00 pm: Happy hour & pizza 🍕

7:00 - 8:00 pm: Keynote lecture & Q.A

Speaker

Prof. Marti A. Hearst (http://people.ischool.berkeley.edu/~hearst/), UC Berkeley

Talk Summary

How we teach and learn is undergoing a revolution, due to changes in technology and connectivity. Education may be one of the best application areas for advanced NLP techniques, and NLP researchers have much to contribute to this problem, especially in the areas of learning to write, mastery learning, and peer learning. In this talk I consider what happens when we convert natural language processors into natural language coaches.

Speaker's bio

Marti Hearst is a Professor at UC Berkeley in the School of Information and EECS. She received her PhD in CS from UC Berkeley in 1994 and was a member of the research staff at Xerox PARC form 1994-1997. Her research is in computational linguistics, search user interfaces, information visualization, and improving learning at scale. Her NLP work includes automatic acquisition of hypernym relations ("Hearst Patterns"), TextTiling discourse segmentation, abbreviation recognition, and multiword semantic relations. She wrote the book "Search User Interfaces" (Cambridge) in 2009, co-founded the ACM Conference on Learning at Scale in 2014, is Vice President Elect of the Association for Computational Linguistics and was named an ACM Fellow in 2013. She has received four student-initiated Excellence in Teaching Awards.