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Learning to Extract Form Labels

Summary: Presents a learning classifier ensemble to identify element–label mappings for Web forms; adds a reconciliation step to boost extraction accuracy. Evaluated on over 3,000 forms, it yields higher accuracy and robustness to layout variability than prior heuristic approaches. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9897
Venue
VLDB
Year
2008
Pagerank
5.3283239e-05
Overall Rank
9,031 | 38.04%
DOI
10.14778/1453856.1453931

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{nguyen_vldb08,
        title = {{Learning to Extract Form Labels}},
        author = {Nguyen, Hoa and Nguyen, Thanh and Freire, Juliana},
        journal = {PVLDB},
        series = {{VLDB} '08},
        volume = {1},
        number = {1},
        pages = {684--695},
        doi = {10.14778/1453856.1453931},
        url = {https://doi.org/10.14778/1453856.1453931},
        year = {2008}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
5,745 DIADEM: Thousands of Websites to a Single Database 2014 VLDB 6.1018855e-05
12,435 Creating and Exploring Web Form Repositories 2010 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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