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        "author": "Rafael Carrascosa, Javier Mansilla, Gonzalo Garc\u00eda Berrotar\u00e1n, Daniel Moisset, Franco M. Luque",
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            "License :: OSI Approved :: BSD License",
            "Programming Language :: Python :: 3",
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        "description": "IEPY\n====\n\nIEPY is an open source tool for\n`Information Extraction <http://en.wikipedia.org/wiki/Information_extraction>`_\nfocused on Relation Extraction.\n\nTo give an example of Relation Extraction, if we are trying to find a\nbirth date in:\n\n    `\"John von Neumann (December 28, 1903 \u2013 February 8, 1957) was a Hungarian and\n    American pure and applied mathematician, physicist, inventor and polymath.\"`\n\nthen IEPY's task is to identify \"``John von Neumann``\" and\n\"``December 28, 1903``\" as the subject and object entities of the \"``was born in``\"\nrelation.\n\nIt's aimed at:\n    - `users <http://iepy.readthedocs.org/en/latest/active_learning_tutorial.html>`_\n      needing to perform Information Extraction on a large dataset.\n    - `scientists <http://iepy.readthedocs.org/en/latest/how_to_hack.html>`_\n      wanting to experiment with new IE algorithms.\n\nFeatures\n--------\n\n    - `A corpus annotation tool <http://iepy.readthedocs.org/en/latest/corpus_labeling.html>`_\n      with a `web-based UI <http://iepy.readthedocs.org/en/latest/corpus_labeling.html#document-based-labeling>`_\n    - `An active learning relation extraction tool <http://iepy.readthedocs.org/en/latest/active_learning_tutorial.html>`_\n      pre-configured with convenient defaults.\n    - `A rule based relation extraction tool <http://iepy.readthedocs.org/en/latest/rules_tutorial.html>`_\n      for cases where the documents are semi-structured or high precision is required.\n    - A web-based user interface that:\n        - Allows layman users to control some aspects of IEPY.\n        - Allows decentralization of human input.\n    - A shallow entity ontology with coreference resolution via `Stanford CoreNLP <http://nlp.stanford.edu/software/corenlp.shtml>`_\n    - `An easily hack-able active learning core <http://iepy.readthedocs.org/en/latest/how_to_hack.html>`_,\n      ideal for scientist wanting to experiment with new algorithms.\n\nInstallation\n------------\n\nInstall the required packages:\n\n.. code-block:: bash\n\n    sudo apt-get install build-essential python3-dev liblapack-dev libatlas-dev gfortran openjdk-7-jre\n\nThen simply install with **pip**:\n\n.. code-block:: bash\n\n    pip install iepy\n\nFull details about the installation is available on the\n`Read the Docs <http://iepy.readthedocs.org/en/latest/installation.html>`__ page.\n\nRunning the tests\n-----------------\n\nIf you are contributing to the project and want to run the tests, all you have to do is:\n\n    - Make sure your JAVAHOME is correctly set. `Read more about it here <http://iepy.readthedocs.io/en/latest/installation.html#install-iepy-package>`_\n    - In the root of the project run `nosetests`\n\nLearn more\n----------\n\nThe full documentation is available on `Read the Docs <http://iepy.readthedocs.org/en/latest/>`__.\n\n\nAuthors\n-------\n\nIEPY is \u00a9 2014 `Machinalis <http://www.machinalis.com/>`_ in collaboration\nwith the `NLP Group at UNC-FaMAF <http://pln.famaf.unc.edu.ar/>`_. Its primary\nauthors are:\n\n * Rafael Carrascosa <rcarrascosa@machinalis.com> (rafacarrascosa at github)\n * Javier Mansilla <jmansilla@machinalis.com> (jmansilla at github)\n * Gonzalo Garc\u00eda Berrotar\u00e1n <ggarcia@machinalis.com> (j0hn at github)\n * Franco M. Luque <francolq@famaf.unc.edu.ar> (francolq at github)\n * Daniel Moisset <dmoisset@machinalis.com> (dmoisset at github)\n\nYou can follow the development of this project and report issues at\nhttp://github.com/machinalis/iepy\n\nYou can join the mailing list `here <https://groups.google.com/forum/?hl=es-419#%21forum/iepy>`__",
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