View source for Class Meeting for 10-707 9/29/2010

This is one of the class meetings on the [[Syllabus for Information Extraction 10-707 in Fall 2010|schedule]] for the course [[Information Extraction 10-707 in Fall 2010]].

=== Meta-Learning: Searn ===


* [http://www.cs.cmu.edu/~wcohen/10-707/09-29-searn.ppt Slides]

=== Required Readings ===


* [http://hal3.name/docs/daume09searn.pdf Search-Based Structured Prediction], Dame, Langford and Marcu.  This is a journal-length paper, but it's not very dense.  We will not be going through the theorems in any detail.
* [http://hal3.name/docs/daume06searn-practice.pdf Searn in Practice] Unpublished manuscript, Daume et al.

=== Optional Readings ===

* [http://hal3.name/docs/daume05laso.pdf Learning as Search Optimization: Approximate Large Margin Methods for Structured Prediction]  An alternative formal analysis of Searn.
* [http://hal3.name/docs/daume09unsearn.pdf Unsupervised Search-based Structured Prediction].  Applying Searn to unsupervised and/or semi-supervised problems.