Derby Wrapper and Document Iterator

I started writing a Derby Wrapper and an abstract Corpus class to represent the Corpus through a Derby DB.
I also wrote the DocumentIterator class to iterate over all of the serialized preprocessed data for the nyt.
Added skeletal iterator on Corpus and added new classes to represent different types of sentence level information
Tested Corpus Document Iterator
Added TokenInformation types
Added TokenInformation parsing from DB
Wrote loadCorpus
Loaded preprocessed corpus into Derby DB with a batch insert, takes approximately 10 minutes for 9GB of sentence data
Implemented Argument Identification component on top of loaded corpus
Added more token and sentence information to DefaultCorpusInformationSpecification
Successfully completed a distant supervision run, and started a feature generation stub
Implemented Feature Generation
Added Multir preprocessing code to transform feature files into MILDocument Datastructures for input into Multir Algorithm
Added try block to catch illformatted distant supervision data
Started cleaning up code and commenting, more to do, and testing remains..
Finished cleaning up project, now need to test for functionality again
Added some timing code, and fixed argument interface for LoadCorpus
Merge pull request #1 from jgilme1/cleanup

Cleanup