Glean: Structured Extractions from Templatic Documents
Summary: Glean extracts schema-structured data from highly variable, including unseen, document templates. Its key contribution is data-management abstractions for ground-truth quality, training-data generation, and iterative model development, improving F1 by 5+ points over the same model architecture. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sandeep Tata (Google)
- 2. Navneet Potti (Google)
- 3. James B. Wendt (Google)
- 4. Lauro Beltrão Costa (Google)
- 5. Marc Najork (Google)
- 6. Beliz Gunel (Stanford University)
BibTeX Citation
@article{tata_vldb21,
title = {{Glean: Structured Extractions from Templatic Documents}},
author = {Tata, Sandeep and Potti, Navneet and Wendt, James B. and Costa, Lauro Beltrão and Najork, Marc and Gunel, Beliz},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {6},
pages = {997--1005},
doi = {10.14778/3447689.3447703},
url = {https://doi.org/10.14778/3447689.3447703},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,414 | Visual Template Inference for Data Extraction from Documents | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 205 | Snorkel: Rapid Training Data Creation with Weak Supervision | 2018 | VLDB | 0.00025235185 |
| 963 | The Data Civilizer System | 2017 | CIDR | 0.00012935145 |
| 1,316 | Harvesting Relational Tables from Lists on the Web | 2009 | VLDB | 0.00011181216 |
| 3,192 | Fonduer: Knowledge Base Construction from Richly Formatted Data | 2018 | SIGMOD | 7.65035e-05 |
| 5,404 | Dagger: A Data (not code) Debugger | 2020 | CIDR | 6.2294192e-05 |
| 7,425 | A Probabilistic Approach for Automatically Filling Form-Based Web Interfaces | 2011 | VLDB | 5.6214101e-05 |
| 8,677 | Visual Segmentation for Information Extraction from Heterogeneous Visually Rich Documents | 2019 | SIGMOD | 5.3867222e-05 |
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| 2 | 8,676 | Machine Learning for Data Management: Problems and Solutions | 2018 | SIGMOD |
| 3 | 713 | Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes | 2024 | VLDB |
| 4 | 588 | Extracting Structured Data from Web Pages | 2003 | SIGMOD |
| 5 | 11,980 | Building Structured Databases of Factual Knowledge from Massive Text Corpora | 2017 | SIGMOD |
| 6 | 717 | Automatic segmentation of text into structured records | 2001 | SIGMOD |
| 7 | 11,455 | Self-Training for Label-Efficient Information Extraction from Semi-Structured Web-Pages | 2023 | VLDB |
| 8 | 11,589 | Blueprint: A Constraint-solving Approach For Document Extraction | 2022 | VLDB |
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