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Welcome to IEPY's documentation!

IEPY is an open source tool for Information Extraction focused on Relation Extraction.

To give an example of Relation Extraction, if we are trying to find a birth date in:

"John von Neumann (December 28, 1903 – February 8, 1957) was a Hungarian and American pure and applied mathematician, physicist, inventor and polymath."

then IEPY's task is to identify "John von Neumann" and "December 28, 1903" as the subject and object entities of the "was born in" relation.

It's aimed at:

You can follow the development of this project and report issues at http://github.com/machinalis/iepy or join the mailing list here

Features

Contents:

.. toctree::
   :maxdepth: 2

   installation
   tutorial
   instantiation
   active_learning_tutorial
   rules_tutorial
   preprocess
   gazettes
   corpus_labeling
   how_to_hack
   troubleshooting
   language


Authors

IEPY is © 2014 Machinalis in collaboration with the NLP Group at UNC-FaMAF. Its primary authors are:

Changelog