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Self-Training for Label-Efficient Information Extraction from Semi-Structured Web-Pages

Summary: LEAST: self-training that synthesizes weakly-labeled fine-tuning corpora for semi-structured web IE using minimal human annotations. Uses uncertainty-aware training to mitigate noisy labels, generalizes across backbones/verticals and cuts human labels up to 11x (<10 pages/site). (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13148
Venue
VLDB
Year
2023
Pagerank
4.1945683e-05
Overall Rank
11,256 | 21.70%
DOI
10.14778/3611479.3611511

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