Skip to main content

Knowledge base construction system for richly formatted data.

Project description

CI-CD Code Climate Codecov ReadTheDocs PyPI PyPIVersion GitHubStars License CodeStyle

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 (blog):

@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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fonduer-0.9.0.tar.gz (100.7 kB view details)

Uploaded Source

Built Distribution

fonduer-0.9.0-py3-none-any.whl (145.3 kB view details)

Uploaded Python 3

File details

Details for the file fonduer-0.9.0.tar.gz.

File metadata

  • Download URL: fonduer-0.9.0.tar.gz
  • Upload date:
  • Size: 100.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.5

File hashes

Hashes for fonduer-0.9.0.tar.gz
Algorithm Hash digest
SHA256 fdbedcdb78143e7e9867d38c14fc65357c01b886786763f2b163eb8773bbfce4
MD5 4be0193d514ebeffd65429509c507bab
BLAKE2b-256 007e78dff268f7584b3d33511188667bdbd9db490c3a3bfccf33740e70c6ef1a

See more details on using hashes here.

File details

Details for the file fonduer-0.9.0-py3-none-any.whl.

File metadata

  • Download URL: fonduer-0.9.0-py3-none-any.whl
  • Upload date:
  • Size: 145.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.5

File hashes

Hashes for fonduer-0.9.0-py3-none-any.whl
Algorithm Hash digest
SHA256 68f7154f0ebf15839a30bd59c9d17790c6c00ec9a889f809bfd545f967ffcf29
MD5 495c92c21ebccab7ad3e533b38981352
BLAKE2b-256 c69fd78b325b311dd5b021b407ec81ad24e1603733239dd97d373b9c05b9b86f

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page