VINERy: A Visual IDE for Information Extraction
Summary: VINERY is a visual IDE for end-to-end IE development with no coding, lowering barriers to information extraction from unstructured data. It auto-translates visually built extractors to a declarative IE language and exports to Eclipse for refinement. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yunyao Li (IBM)
- 2. Elmer Kim (Treasure Data, Inc.)
- 3. Marc A. Touchette (IBM)
- 4. Ramiya Venkatachalam (IBM)
- 5. Hao Wang (IBM)
BibTeX Citation
@article{li_vldb15,
title = {{VINERy: A Visual IDE for Information Extraction}},
author = {Li, Yunyao and Kim, Elmer and Touchette, Marc A. and Venkatachalam, Ramiya and Wang, Hao},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {12},
pages = {1948--1951},
doi = {10.14778/2824032.2824108},
url = {https://doi.org/10.14778/2824032.2824108},
year = {2015}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,484 | Synthesizing Extraction Rules from User Examples with SEER | 2017 | SIGMOD | 5.4155551e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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