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Snorkel: Fast Training Set Generation for Information Extraction

Summary: Snorkel enables training-set generation for information extraction via labeling functions encoding heuristics and weak supervision, with accuracy estimation. Noisy labels tolerated; model yields high accuracy on corporate-relations extraction from news. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5417
Venue
SIGMOD
Year
2017
Pagerank
7.185321e-05
Overall Rank
3,701 | 74.61%
DOI
10.1145/3035918.3056442

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ratner_sigmod17,
        title = {{Snorkel: Fast Training Set Generation for Information Extraction}},
        author = {Ratner, Alexander J. and Bach, Stephen H. and Ehrenberg, Henry R. and Ré, Chris},
        series = {{SIGMOD} '17},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3035918.3056442},
        url = {https://dl.acm.org/doi/10.1145/3035918.3056442},
        year = {2017}
}

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