Refactored egrid -- removed constructor class. Added separate getters for a transition count vector and a transition probability vector.
Added graph display and weight and constraint construction.
Fixed weights, and graph. Best path still not working.
Changed egrid.py according to Sasha's notes. Created data.py for loading datasets. Added parsed training and test data to data directory. Created env.sh for setting neccessary environment variables. The Brown Coherence Toolkit is now a dependency and its location needs to be set in env.sh/
Made presentational changes to notebook. Verified that constraints are implemented correctly but the best path is still not being found correctly.
Minor style change.
Added eval to notebook. This is not complete as the decoder does not yet work.
Minor style change
Adding notebook
Adding core nlp processor xml output to data directory. This is necessary to use their coref system.
Added original grids. Implemented baseline from Barzilay and Lapata 2005. Added svm ranking model. Now using pandas DataFrames for all grid objects instead of just numpy matrices.
Removed accidental vim buffer file.
Made model 0, model 1 notebooks, revised eval script. Verified my kendall's tau is as good as scipy's.
Merge pull request #9 from kedz/graph_b0

Graph b0