Morning Session
	07:30 - 07:40		Opening Remarks Hal Daumé III and Yee Whye Teh
	07:40 - 08:10		Invited Talk: Using Statistics in Lexical Analysis:       Where have we been and where are we going? Kenneth Church (Microsoft Research)
			Abstract
	08:10 - 08:30		Learning word similarity using hierarchical knowledge David Vickrey (Stanford University)
	08:30 - 08:50		A Bayesian network for the resolution of non-anaphoric pronoun it Davy Weissenbacher (Universite Paris-Nord)
	08:50 - 09:00		Break
	09:00 - 09:30		Invited Talk: Bayesian Topic Models Tom Griffiths (Brown University)
			Abstract
	09:30 - 09:50		Topic modeling: beyond bag-of-words Hanna Wallach (University of Cambridge)
	09:50 - 10:30		Paneled Discussion Kenneth Church, Tom Griffiths, Jeff Bilmes, Andrew McCallum and Sam Roweis
			Topics TBD.
Afternoon Session
	15:30 - 15:50		A Bayesian interpretation of interpolated Kneser-Ney Yee Whye Teh (National University of Singapore)
	15:50 - 16:10		Using edge-reinforced random walks on graphs to model text Peter Sunehag (NICTA/ANU Canberra) [paper]
	16:10 - 16:40		Round Table Discussion
			Topics TBD.
	16:40 - 16:50		Break
	16:50 - 17:20		Invited Talk: CRFs and Joint Inference in NLP Andrew McCallum (University of Massachusetts Amherst)
			Abstract
	17:20 - 17:40		Integrating trigram, PCFG and LDA for language modeling       via directed Markov random fields Shaojun Wang (University of Alberta)
	17:40 - 18:25		Paneled Discussion Kenneth Church, Tom Griffiths, Jeff Bilmes, Andrew McCallum and Sam Roweis
			Topics: Interesting avenues for future research.
	18:25 - 18:30		Closing Remarks Hal Daumé III and Yee Whye Teh