Dependency parser implemented using Searn.
Makefile for dep parser
Dependency parser that can work on simple examples
TODO: feature engineering, fix a memory leak bug
quadratic and cubic features for dep parser
fix a memory leak bug
fix more memory leak bugs
- faster implementation of feature extraction
- fix a bug for initializing ezexample
- Rewrite the feature extraction for dep-parser
- TODO: Have memory bugs
Add a  searn application : dependency parser
Merge remote-tracking branch 'upstream2/master'

Conflicts:
	vowpalwabbit/Makefile.am
	vowpalwabbit/searn.cc
Add more features, fix a few bugs. Current performance: ~75%
add demo/ocr (http://ai.stanford.edu/~btaskar/ocr/)
output files depend on VW_OPTS
add PYTHON variable
Merge remote-tracking branch 'upstream/master'

Conflicts:
	vowpalwabbit/Makefile.am
	vowpalwabbit/searn.cc
Merge remote-tracking branch 'upstream/master'

Conflicts:
	Makefile.am
	vowpalwabbit/Makefile.am
LDF now implemented in python; a few extra helper functions
Merge branch 'master' of git://github.com/JohnLangford/vowpal_wabbit
Add an entity relation task (an application to vw-search)
updated notebook, added more examples
Temp version: get ~80% U