Contents

1. Paragraph Taggers:
   Briefly describes how the tagger is used to automatically tag paragraphs using WordFreak.
   
   
2. Sentence Taggers:
   Briefly describes how the tagger is used to automatically tag sentences using WordFreak.
   
   
3. Tokenizer Tagging:
   Briefly describes how the tagger is used to automatically tag tokens using WordFreak.
   
   
4. POS Taggers:
   Briefly describes how annotators and trained POS files use the POS taggers to tag different parts of speech.
   
   
5. Entity Tagging
   
   
   • Oncology Entity Tagging:
     Briefly describes how annotators use the oncology entity taggers to tag different oncology related entities using WordFreak.
     
     
     • BioTagger Models:
       The BioTagger Models section includes links to the documentation, trained gene modeling data for each respective model, with links to download each tagger.
       
       
       • Gene Tagging Models (trained on Biocreative data, Angiogenesis data, Neuroblastoma data, Sanger data, and Sanger + Angiogenesis + Neuroblastoma data)
         
         
       • Genomic Variation Models
         • Variation Taggers:
           summary description of the variation tagger which is being developed in the oncology domain. (Jan. '04, HTML, ~2pp.) These advances in technology will be of great value for the entire information extraction field.
           
           
       • Malignancy Type Models
         
         
   • CYP450 Entity Tagging:
     Briefly describes how annotators use the CYP450 entity taggers to tag different CYP450 related entities using WordFreak.
     
     
6. Relation Taggers
   
   
   • Oncology Relation Taggers:
     Describes relational taggers that were used briefly in the pilot study.
     
     
   • CYP450 Relation Taggers:
     Describes relational taggers that were used briefly in the CYP450 alpha test.
     
     
7. Tree Banking Parser : TBA