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.- `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.
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.
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`
The full documentation is available on Read the Docs <http://iepy.readthedocs.org/en/latest/>
__.
IEPY is © 2014 Machinalis <http://www.machinalis.com/>
in collaboration
with the NLP Group at UNC-FaMAF <http://pln.famaf.unc.edu.ar/>
. Its primary
authors are:
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>
__