Events Calendar

NL Seminar- Kuzman Ganchev:

Speaker: Kuzman Ganchev , (Google Research)

Series: Natural Language Seminar

Abstract: I will describe a framework for cross-lingual transfer of probabilistic models that uses posterior regularization. As a long aside, I will describe several methods for learning with side information: constraint driven learning, posterior regularization, generalized expectation, augmented loss as well as how they relate to each other and to Bayesian measurements. I will conclude with some applications from my work and from the literature, including sequence and tree models.




Biography: I was born in Sofia, Bulgaria where I lived until February 1989. My family moved to Zimbabwe and then in 1995 to New Zealand where I went to high school. I came to the US in 1999 to study at Swarthmore College. I spent the 2001-2002 academic year studying abroad in Paris. After graduating with a Bachelor of Arts in Computer Science in 2003 I worked at StreamSage Inc. in Washington DC until starting at the University of Pennsylvania in Fall 2004. During the summer of 2007 I was an intern at TrialPay in Mountain View, CA and during the summer of 2008 I was an intern at Bank of America in New York. I graduated from UPenn in 2010 and have since been working at Google Inc. in New York.

Host: Yang Gao

More Info: http://nlg.isi.edu/nl-seminar/

Location: 11th Flr Conf Rm # 1135, Marina Del Rey

Audiences: Everyone Is Invited

Contact: Peter Zamar

Event Link: http://nlg.isi.edu/nl-seminar/