Database Principles in Information Extraction
Summary: Overview of algorithms and declarative frameworks for populating relational schemas from text, emphasizing programming abstractions for extractors. Advocates leveraging DB principles—schemas, constraints, provenance, optimization—to systematize IE, surveys recent work and future directions. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,775 | Building Structured Databases of Factual Knowledge from Massive Text Corpora | 2017 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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