Towards Universal Syntactic Processing of Natural Language

Speaker: Slav Petrov , Google

Date: Monday, April 27, 2015

Time: 1:00 PM to 2:00 PM Note: all times are in the Eastern Time Zone

Refreshments: 12:45 PM

Public: Yes

Location: 32-G449 (Patil/Kiva Conference Room)

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Host: Regina Barzilay, MIT CSAIL

Contact: Marcia G. Davidson, 617-253-3049,

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Reminder Subject: TALK: Towards Universal Syntactic Processing of Natural Language

In this talk I will describe some ongoing work towards a universal representation of morphology and syntax that makes it possible to model different languages in a consistent way. I will then describe some approaches for learning accurate and fast syntactic parsers from treebanks, and also how to effective leverage additional unlabeled data, especially in the context of high-capacity neural network learners. Finally, I will highlight some examples of how we have successfully used syntax at Google to improve downstream applications like question answering and machine translation. This work is carried out at Google by teams in New York, Mountain View and London.

Slav Petrov is a researcher in Google's New York office, leading a team that works on syntactic parsing and its applications to information extraction, question answering and machine translation. He holds a PhD degree from UC Berkeley, where he worked with Dan Klein. Before that he completed a Master's degree at the Free University of Berlin and was a member of the FU-Fighters team that won the RoboCup world championship in 2004. His work on fast and accurate multilingual syntactic analysis was recognized with best paper awards at ACL 2011 and NAACL 2012. He received the John Atanasoff Award by the President of Bulgaria in 2014. Slav also teaches Statistical Natural Language Processing at New York University.

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Created by Marcia G. Davidson Email at Friday, April 17, 2015 at 7:42 AM.