ONDUX: On-Demand Unsupervised Learning for Information Extraction
Summary: ONDUX: On-Demand unsupervised IETS via strong segment-attribute matching, no explicit training. Reinforcement step learns sequencing/positioning from test data with no labels, yielding cross-domain gains vs state-of-the-art. (summarized by gpt-5-nano on Feb 09 2026)
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Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,399 | Joint Unsupervised Structure Discovery and Information Extraction | 2011 | SIGMOD | 5.5291067e-05 |
| 7,397 | A Probabilistic Approach for Automatically Filling Form-Based Web Interfaces | 2011 | VLDB | 4.7417648e-05 |
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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 |
|---|---|---|---|---|
| 427 | Automated Ranking of Database Query Results | 2003 | CIDR | 0.0002352637 |
| 637 | Automatic segmentation of text into structured records | 2001 | SIGMOD | 0.00018824614 |
| 3,747 | Context-Aware Wrapping: Synchronized Data Extraction | 2007 | VLDB | 6.7917216e-05 |
| 5,599 | Answering Imprecise Queries over Web Databases | 2005 | VLDB | 5.4160529e-05 |
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