IEPY

IEPY is an open source tool for Information Extraction <http://en.wikipedia.org/wiki/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:

users <http://iepy.readthedocs.org/en/latest/active_learning_tutorial.html>_ needing to perform Information Extraction on a large dataset.
scientists <http://iepy.readthedocs.org/en/latest/how_to_hack.html>_ wanting to experiment with new IE algorithms.

Features

- `A corpus annotation tool <http://iepy.readthedocs.org/en/latest/corpus_labeling.html>`_
  with a `web-based UI <http://iepy.readthedocs.org/en/latest/corpus_labeling.html#document-based-labeling>`_
- `An active learning relation extraction tool <http://iepy.readthedocs.org/en/latest/active_learning_tutorial.html>`_
  pre-configured with convenient defaults.
- `A rule based relation extraction tool <http://iepy.readthedocs.org/en/latest/rules_tutorial.html>`_
  for cases where the documents are semi-structured or high precision is required.
- A web-based user interface that:
    - Allows layman users to control some aspects of IEPY.
    - Allows decentralization of human input.
- A shallow entity ontology with coreference resolution via `Stanford CoreNLP <http://nlp.stanford.edu/software/corenlp.shtml>`_
- `An easily hack-able active learning core <http://iepy.readthedocs.org/en/latest/how_to_hack.html>`_,
  ideal for scientist wanting to experiment with new algorithms.

Installation

Install the required packages:

.. code-block:: bash

sudo apt-get install build-essential python3-dev liblapack-dev libatlas-dev gfortran openjdk-7-jre

Then simply install with pip:

.. code-block:: bash

pip install iepy

Full details about the installation is available on the Read the Docs <http://iepy.readthedocs.org/en/latest/installation.html>__ page.

Running the tests

If you are contributing to the project and want to run the tests, all you have to do is:

- Make sure your JAVAHOME is correctly set. `Read more about it here <http://iepy.readthedocs.io/en/latest/installation.html#install-iepy-package>`_
- In the root of the project run `nosetests`

Learn more

The full documentation is available on Read the Docs <http://iepy.readthedocs.org/en/latest/>__.

Authors

Rafael Carrascosa rcarrascosa@machinalis.com (rafacarrascosa at github)
Javier Mansilla jmansilla@machinalis.com (jmansilla at github)
Gonzalo García Berrotarán ggarcia@machinalis.com (j0hn at github)
Franco M. Luque francolq@famaf.unc.edu.ar (francolq at github)
Daniel Moisset dmoisset@machinalis.com (dmoisset at github)

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

You can join the mailing list here <https://groups.google.com/forum/?hl=es-419#%21forum/iepy>__

machinalis / iepy