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pyConText Goals

collaborative development and improvement

• Github: https://github.com/chapmanbe/pyConTextNLP
  • forking
  • merging

algorithmic improvements

• interaction with termination terms
• modularity
• target identification
  • can either mark targets or read them in

document-level classification

* in RadNLP (not pyConText)
* rule language format

read in ontology files

* simple text?
* RDF?

SWRL? unit testing public corpora MTSamples? 120 PITT sentences? efficiency speed it up fastConText code (Jianlin) ranking modifiers according to utility parallel processing visualization and customization notebooks