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nlp-private:george [2015/04/23 19:40] (current)
ryancha created
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 +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?
  
nlp-private/george.txt ยท Last modified: 2015/04/23 19:40 by ryancha
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