Merge pull request #5 from andrewmccallum/master

DepParser2.serialize: More efficient sparsification.  DepParser1.train: FeaturesDomain.trimBelowCount(3)
changed order that it searches over offsets in fuzzy matching so that it will always return an exact match if it exists
Merge branch 'master' of https://github.com/factorie/factorie
Many changes to WithinDocCoref2

 - CorefGazetteers is no longer used and deprecated
 - Training & testing files are passed as command-line arguments
 - It uses the default factorie wordnet (which can be overriden with a system property)
fix compile error
WithinDocCoref2: changing serialization: only using a single stream instead of two; also adding the option of loading a model from the classpath
nlp: adding WithinDocCoref2 to the NLP command-line tool
added logic in coref2 to train separate model for pronouns. also midway through lots of debugging of mention alignment
WithinDocCoref2: fixing small empty list errors in entity type prediciton and mention alignment
WithinDocCoref2: fixing deserialization
WithinDocCoref2: fixing weird evaluation bug
nlp: EntityTypeAnnotator1 has the right dependencies, can run WithinDocCoref2 as part of the NLP pipeline now
Merge pull request #6 from alextp/coref-changing

Many changes to WithinDocCoref2
various changes to coref/mentionalignment for the sake of better handling of pronouns and error analysis of mention alignment
merge
DepParser1: Fix definition of skipNonCategories.  Training now runs to
completion.  Reduce default number of iterations from 10 to 3.  Accuracy
does not rise after 3 iterations.
POS1, NER1, NER2, DepParser1, DepParser2: Sparsify evidence parameters
before serializing.