Blueprint: A Constraint-solving Approach For Document Extraction
Summary: Blueprint declaratively extracts document fields via fuzzy spatial, textual, semantic, and numerical constraints, offering interpretable alternatives to deep learning. Studio’s no-code labeling and program synthesis address usability, achieving comparable accuracy and development time. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Andrey Mishchenko (University of Michigan)
- 2. Dominique Danco (University of Amsterdam)
- 3. Abhilash Jindal (Indian Institute of Technology Delhi)
- 4. Adrian Blue (Instabase)
BibTeX Citation
@article{mishchenko_vldb22,
title = {{Blueprint: A Constraint-solving Approach For Document Extraction}},
author = {Mishchenko, Andrey and Danco, Dominique and Jindal, Abhilash and Blue, Adrian},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {12},
pages = {3459--3471},
doi = {10.14778/3554821.3554836},
url = {https://doi.org/10.14778/3554821.3554836},
year = {2022}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 91 | WebTables: Exploring the Power of Tables on the Web | 2008 | VLDB | 0.00034838835 |
| 319 | Declarative Information Extraction Using Datalog with Embedded Extraction Predicates | 2007 | VLDB | 0.00021377065 |
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