Welcome to Fonduer
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.
.. toctree:: :maxdepth: 2 :caption: User Documentation user/getting_started user/parser user/data_model_utils user/candidates user/features user/supervision user/learning user/config user/faqs
.. toctree:: :maxdepth: 2 :caption: Developer Documentation dev/changelog dev/install dev/tests dev/codestyle
We gratefully acknowledge the support of DARPA under No. N66001-15-C-4043 (SIMPLEX), No. FA8750-17-2-0095 (D3M), No. FA8750-12-2-0335, and No. FA8750-13-2-0039; DOE under 108845; NIH under U54EB020405; ONR under No. N000141712266 and No. N000141310129; the Intel/NSF CPS Security grant No. 1505728; the Secure Internet of Things Project; Qualcomm; Ericsson; Analog Devices; the National Science Foundation Graduate Research Fellowship under Grant No. DGE-114747; the Stanford Finch Family Fellowship; the Moore Foundation; the Okawa Research Grant; American Family Insurance; Accenture; Toshiba; and members of the Stanford DAWN project: Intel, Microsoft, Google, Teradata, and VMware. We thank Holly Chiang, Bryan He, and Yuhao Zhang for helpful discussions. We also thank Prabal Dutta, Mark Horowitz, and Björn Hartmann for their feedback on early versions of this work. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views, policies, or endorsements, either expressed or implied, of DARPA, DOE, NIH, ONR, or the U.S. Government.