To Do List
*Segmentation/Tagging in one swoop
**What has been done?
***Hanna Wallach CRF tutorial
***First CRF tutorial
***Chinese segmentation/tagging combo papers.
**Find where Lab is
***Peter's state of affairs POS Tagging
***Morph List??
***Run morph tagger, perceptron tagger?


For experiments,
*Describe succinctly
*Reason
*Certain about method


Changes to StatNLP
* Turn FeatureExtractor into an abstract class that handles the if(Labeled) casting issues in all FeatureExtractors
* FeatureExtractor Interface: Type (maybe Datum maybe not) -> Datum, Readers output a Type (for now we can stick with Collection of datums)
** Another possibility is structured datum is a map which will change interfaces but may fit better
*** Generic feature extractor could extract features from the text (of email, doc, forum, etc.)
* Models take Datums (exceptions may exist like NetflixMovieModel but not in code base)
* pipelines?
* what is the role of vectors in the feature pipeline?