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Web Data Extraction using Hybrid Program Synthesis: A Combination of Top-down and Bottom-up Inference

Summary: Hybrid program synthesis unites top-down deductive and bottom-up enumerative inference, enabling concise web data extraction programs from few examples. Semi-supervised approach improves accuracy, reduces example needs, and lowers program complexity; deployed in Power BI. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5883
Venue
SIGMOD
Year
2020
Pagerank
5.7663737e-05
Overall Rank
6,809 | 53.29%
DOI
10.1145/3318464.3380608

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{raza_sigmod20,
        title = {{Web Data Extraction using Hybrid Program Synthesis: A Combination of Top-down and Bottom-up Inference}},
        author = {Raza, Mohammad and Gulwani, Sumit},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3380608},
        url = {https://dl.acm.org/doi/10.1145/3318464.3380608},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
7,811 The Smallest Extraction Problem 2021 VLDB 5.5393291e-05
9,395 Web Record Extraction with Invariants 2023 VLDB 5.2755515e-05
11,445 Cornet: Learning Table Formatting Rules By Example 2023 VLDB 5.093636e-05
11,541 SPINE: Scaling up Programming-by-Negative-Example for String Filtering and Transformation 2022 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

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