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Revisiting Weighted Information Extraction: A Simpler and Faster Algorithm for Ranked Enumeration

Summary: Shortest-path enumeration used to simplify weighted information extraction, enabling linear preprocessing and per-output delay O(|s_i| + min{log i, log |D|}). A rounding technique yields O(|s|) delay with high probability, via algebra, high-dimensional geometry, and LP. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
1990
Venue
PODS
Year
2024
Pagerank
5.093636e-05
Overall Rank
11,148 | 23.52%
DOI
10.1145/3695840

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BibTeX Citation

@inproceedings{gawrychowski_pods24,
        address = {New York, NY, USA},
        series = {{PODS} '24},
        title = {{Revisiting Weighted Information Extraction: A Simpler and Faster Algorithm for Ranked Enumeration}},
        url = {https://dl.acm.org/doi/10.1145/3695840},
        doi = {10.1145/3695840},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Gawrychowski, Paweł and Manea, Florin and Schmid, Markus L.},
        year = {2024}
}

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