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Query Containment of Tier-2 Queries over a Probabilistic Database., , , and . MUD, volume WP09-14 of CTIT Workshop Proceedings Series, page 47-62. Centre for Telematics and Information Technology (CTIT), University of Twente, The Netherlands, (2009)Snorkel MeTaL: Weak Supervision for Multi-Task Learning., , , , and . DEEM@SIGMOD, page 3:1-3:4. ACM, (2018)Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings., , , , , , , and . CoRR, (2020)Ringtail: A Generalized Nowcasting System., , , , , and . Proc. VLDB Endow., 6 (12): 1358-1361 (2013)Queries and materialized views on probabilistic databases., , and . J. Comput. Syst. Sci., 77 (3): 473-490 (2011)Effectively creating weakly labeled training examples via approximate domain knowledge, , , , , and . Inductive Logic Programming, Springer, (2015)Tuffy: Scaling Up Statistical Inference in Markov Logic Networks Using an RDBMS, , , and . Proceedings of the VLDB Endowment, 4 (6): 373--384 (2011)Training Classifiers with Natural Language Explanations, , , , , and . arXiv preprint arXiv:1805.03818, (2018)Skew strikes back: new developments in the theory of join algorithms., , and . SIGMOD Record, 42 (4): 5-16 (2013)A Relational Framework for Classifier Engineering., and . PODS, page 5-20. ACM, (2017)