Provenance-based Dictionary Refinement in Information Extraction
Summary: Provenance of extraction outputs drives dictionary refinement, formulating an optimization to maximize quality by pruning entries. Efficient algorithms with a probabilistic model for incomplete labeling are proposed and validated on real extractors, with implications for view maintenance in relational settings. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Sudeepa Roy (University of Washington)
- 2. Laura Chiticariu (IBM)
- 3. Vitaly Feldman (IBM)
- 4. Frederick R. Reiss (IBM)
- 5. Huaiyu Zhu (IBM)
BibTeX Citation
@inproceedings{roy_sigmod13,
title = {{Provenance-based Dictionary Refinement in Information Extraction}},
author = {Roy, Sudeepa and Chiticariu, Laura and Feldman, Vitaly and Reiss, Frederick R. and Zhu, Huaiyu},
series = {{SIGMOD} '13},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2463676.2465284},
url = {https://dl.acm.org/doi/10.1145/2463676.2465284},
year = {2013}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 17 | Provenance Semirings | 2007 | PODS | 0.00059660827 |
| 330 | Declarative Information Extraction Using Datalog with Embedded Extraction Predicates | 2007 | VLDB | 0.00020870379 |
| 593 | On Propagation of Deletions and Annotations Through Views | 2002 | PODS | 0.00015833398 |
| 1,336 | Harvesting Relational Tables from Lists on the Web | 2009 | VLDB | 0.00010969394 |
| 2,459 | Tracing Data Errors with View-Conditioned Causality | 2011 | SIGMOD | 8.4137923e-05 |
| 3,285 | Toward Best-Effort Information Extraction | 2008 | SIGMOD | 7.4430978e-05 |
| 3,301 | Computing Query Probability with Incidence Algebras | 2010 | PODS | 7.4238397e-05 |
| 3,924 | Efficiently Incorporating User Feedback into Information Extraction and Integration Programs | 2009 | SIGMOD | 6.9044317e-05 |
| 4,460 | Maximizing Conjunctive Views in Deletion Propagation | 2011 | PODS | 6.5757194e-05 |
| 4,847 | Automatic Rule Refinement for Information Extraction | 2010 | VLDB | 6.3701399e-05 |
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