Knowledge base construction system for richly formatted data.
Project description
Fonduer is a framework for building knowledge base construction (KBC) applications from richy formatted data and is implemented as a library on top of a modified version of Snorkel.
Note that Fonduer is still actively under development, so feedback and contributions are welcome. Let us know in the `Issues <https://github.com/HazyResearch/fonduer/issues>`__ section or feel free to submit your contributions as a pull request.
Reference
Fonduer: Knowledge Base Construction from Richly Formatted Data
@article{wu2017fonduer, 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}, journal={arXiv preprint arXiv:1703.05028}, year={2017} }
Installation
Check out our Getting Started Guide to get up and running.
Learning how to use Fonduer
The `Fonduer tutorials <https://github.com/hazyresearch/fonduer-tutorials>`__ cover the Fonduer workflow, showing how to extract relations from hardware datasheets and scientific literature.
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