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)
Incoming Non-self Citations Over Time
Authors
- 1. Alexander J. Ratner
- 2. Stephen H. Bach
- 3. Henry R. Ehrenberg
- 4. Chris Ré
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,753 | Complaint-driven Training Data Debugging for Query 2.0 | 2020 | SIGMOD | 8.1724339e-05 |
| 5,645 | Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts | 2022 | SIGMOD | 5.3923454e-05 |
| 6,955 | Inspector Gadget: A Data Programming-based Labeling System for Industrial Images | 2021 | VLDB | 4.8864297e-05 |
| 7,941 | Efficient Uncertainty Tracking for Complex Queries with Attribute-level Bounds | 2021 | SIGMOD | 4.613363e-05 |
| 8,055 | iFlipper: Label Flipping for Individual Fairness | 2023 | SIGMOD | 4.5947404e-05 |
| 9,252 | Improving Information Extraction from Visually Rich Documents using Visual Span Representations | 2021 | VLDB | 4.3690661e-05 |
| 10,465 | A Cost-Effective LLM-based Approach to Identify Wildlife Trafficking in Online Marketplaces | 2025 | SIGMOD | 4.1945683e-05 |
| 11,543 | Migrating a Privacy-Safe Information Extraction System to a Software 2.0 Design | 2020 | CIDR | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
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