Fonduer Save

A knowledge base construction engine for richly formatted data

Project README

|Fonduer|

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Fonduer is a Python package and framework for building knowledge base construction (KBC) applications from richly formatted data.

Note that Fonduer is still actively under development, so feedback and contributions are welcome. Submit bugs in the Issues_ section or feel free to submit your contributions as a pull request.

Getting Started

Check out our Getting Started Guide_ to get up and running with Fonduer.

Learning how to use Fonduer


The `Fonduer tutorials`_ cover the Fonduer workflow, showing how to extract
relations from hardware datasheets and scientific literature.

Reference
---------

`Fonduer: Knowledge Base Construction from Richly Formatted
Data <https://arxiv.org/abs/1703.05028>`__ (`blog <https://hazyresearch.stanford.edu/fonduer>`__)::

    @inproceedings{wu2018fonduer,
      title={Fonduer: Knowledge Base Construction from Richly Formatted Data},
      author={Wu, Sen and Hsiao, Luke and Cheng, Xiao and Hancock, Braden and Rekatsinas, Theodoros and Levis, Philip and R{\'e}, Christopher},
      booktitle={Proceedings of the 2018 International Conference on Management of Data},
      pages={1301--1316},
      year={2018},
      organization={ACM}
    }


Acknowledgements
----------------

Fonduer leverages the work of Emmental_ and Snorkel_.


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.. _Emmental: https://github.com/senwu/emmental/
.. _Snorkel: https://hazyresearch.github.io/snorkel/
.. _Issues: https://github.com/HazyResearch/fonduer/issues/
.. _Getting Started Guide: https://fonduer.readthedocs.io/en/latest/user/getting_started.html
.. _Fonduer tutorials: https://github.com/hazyresearch/fonduer-tutorials
.. _Mailing List: https://groups.google.com/forum/#!forum/fonduer-dev
Open Source Agenda is not affiliated with "Fonduer" Project. README Source: HazyResearch/fonduer
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License
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