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
- 2. Elmer Kim
- 3. Marc A. Touchette
- 4. Ramiya Venkatachalam
- 5. Hao Wang
Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,613 | Synthesizing Extraction Rules from User Examples with SEER | 2017 | SIGMOD | 4.4806551e-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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