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Creating Probabilistic Databases from Information Extraction Models.

, and . VLDB, page 965-976. ACM, (2006)

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Document Classification Through Interactive Supervision of Document and Term Labels., , , and . PKDD, volume 3202 of Lecture Notes in Computer Science, page 185-196. Springer, (2004)Probabilistic Graphical Models and their Role in Databases., and . VLDB, page 1435-1436. ACM, (2007)Learning from Rules Generalizing Labeled Exemplars., , , and . ICLR, OpenReview.net, (2020)Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods., and . KDD, page 89-98. ACM, (2004)Factorizing Complex Predicates in Queries to Exploit Indexes., , and . SIGMOD Conference, page 361-372. ACM, (2003)Automation in Information Extraction and Data Integration.. VLDB, Morgan Kaufmann, (2002)Models and Indices for Integrating Unstructured Data with a Relational Database.. KDID, volume 3377 of Lecture Notes in Computer Science, page 1-10. Springer, (2004)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)Bootstrapping Multilingual Semantic Parsers using Large Language Models., , , , , and . EACL, page 2447-2459. Association for Computational Linguistics, (2023)Semi-Markov Conditional Random Fields for Information Extraction., and . NIPS, page 1185-1192. (2004)