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Jigsaw: Large Language Models meet Program Synthesis., , , , , , and . ICSE, page 1219-1231. ACM, (2022)Collective extraction from heterogeneous web lists., , , and . WSDM, page 445-454. ACM, (2011)Synthesis and machine learning for heterogeneous extraction., , , , and . PLDI, page 301-315. ACM, (2019)Privacy-preserving Class Ratio Estimation., , and . KDD, page 925-934. ACM, (2016)Purple SOX extraction management system., , , , , , , , , and 1 other author(s). SIGMOD Record, 37 (4): 21-27 (2008)Jigsaw: Large Language Models meet Program Synthesis., , , , , , and . CoRR, (2021)Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection., , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 530-538. JMLR.org, (2014)Landmarks and regions: a robust approach to data extraction., , , , , , and . PLDI, page 993-1009. ACM, (2022)Active Evaluation of Classifiers on Large Datasets., , and . ICDM, page 329-338. IEEE Computer Society, (2012)