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Joint Unsupervised Structure Discovery and Information Extraction

Summary: JUDIE: joint unsupervised extraction of semi-structured records from continuous text with no delimiters. Structure Discovery groups labels into records by frequent repetitions, enabling iterative refinement of extraction without supervision. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4473
Venue
SIGMOD
Year
2011
Pagerank
6.1775485e-05
Overall Rank
5,554 | 61.90%
DOI
10.1145/1989323.1989380

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{cortez_sigmod11,
        title = {{Joint Unsupervised Structure Discovery and Information Extraction}},
        author = {Cortez, Eli and Oliveira, Daniel and da Silva, Altigran S. and de Moura, Edleno S. and Laender, Alberto H. F.},
        series = {{SIGMOD} '11},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1989323.1989380},
        url = {https://dl.acm.org/doi/10.1145/1989323.1989380},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

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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
466 Automated Ranking of Database Query Results 2003 CIDR 0.00018014467
717 Automatic segmentation of text into structured records 2001 SIGMOD 0.00014649121
12,425 ONDUX: On-Demand Unsupervised Learning for Information Extraction 2010 SIGMOD 5.093636e-05
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