Papers to read

[hlc...@hotmail.com]

Hi all,

I have put up the papers to read for the next session:
http://groups.google.com/group/mlnus/web/machine-learning-bi-weekly-reading-group

Please submit proposals for papers to read by the end of this week.
Hopefully, everyone gets to lead at least one discussion.

See you next Thursday!

Thanks
Hai Leong

[Hendra Setiawan]

Hi HL,

I would like very much to understand this paper:
Jianfeng Gao; Galen Andrew; Mark Johnson; Kristina Toutanova
A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing [http://acl.ldc.upenn.edu/P/P07/P07-1104.pdf]

I attended the presentation but, to be honest, felt quite blank =) I believe Prof. Lee mentioned about this paper last week in the room.

There are also some papers from Dan Klein's contingent, which carries a keyword of Hierarchical Dirichlet Process a.k.a Nonparametric Bayesian.

The Infinite PCFG Using Hierarchical Dirichlet Processes
P. Liang, S. Petrov, M. Jordan, and D. Klein
EMNLP-CoNLL  688--697 (2007)
http://www.aclweb.org/anthology/D/D07/D07-1072

Unsupervised Coreference Resolution in a Nonparametric Bayesian Model
A. Haghighi and D. Klein
45th ACL 848--855 (2007)
http://www.aclweb.org/anthology/P/P07/P07-0107

this one is Chris Manning

P07-1035 [bib ]: Jenny Rose Finkel; Trond Grenager; Christopher D. Manning
The Infinite Tree

Regards,
Hendra Setiawan