Grafeno: Python library for Semantic Graphs
===========================================

Python library for concept graph extraction from text, operation, and
linearization. An integrated web service is provided.

This library is still a work in progress, but it has shown to be already useful
for a number of applications, for example extractive text summarization.


Contents:

.. toctree::
   :maxdepth: 2

   intro
   examples
   configs
   _reference/grafeno


Indices and tables
==================

* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`

Credits
=======

Authors:

- Antonio F. G. Sevilla <afgs@ucm.es>
- Alberto Díaz <albertodiaz@fdi.ucm.es>

Acknowledgements
----------------
The continued development of this library has been possible thanks to a number
of different research and development projects, listed below.

- A collaboration with MedWhat (https://medwhat.com/), a company that develops
  virtual medical assistant bots and other medical artificial intelligence
  solutions.
- This research is funded by the Spanish Ministry of Economy and Competitiveness
  and the European Regional Development Fund (TIN2015-66655-R (MINECO/FEDER)).
- This work is funded by ConCreTe. The project ConCreTe acknowledges the
  financial support of the Future and Emerging Technologies (FET) programme
  within the Seventh Framework Programme for Research of the European
  Commission, under FET grant number 611733.