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Montague Meets Markov: Deep Semantics with Probabilistic Logical Form.

, , , , , and . *SEM@NAACL-HLT, page 11-21. Association for Computational Linguistics, (2013)

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Model-based overlapping clustering., , , , and . KDD, page 532-537. ACM, (2005)Discriminative structure and parameter learning for Markov logic networks., and . ICML, volume 307 of ACM International Conference Proceeding Series, page 416-423. ACM, (2008)Learning to Combine Trained Distance Metrics for Duplicate Detection in Databases, and . AI 02-296. Artificial Intelligence Laboratory, University of, Austin, TX, (February 2002)Processing Issues in Comparisons of Symbolic and Connectionist Learning Systems., , , , and . ML, page 169-173. Morgan Kaufmann, (1989)Extending Theory Refinement to M-of-N Rules., and . Informatica (Slovenia), (1993)A Novel Application of Theory Refinement to Student Modeling., and . AAAI/IAAI, Vol. 1, page 403-408. AAAI Press / The MIT Press, (1996)Training a Multilingual Sportscaster: Using Perceptual Context to Learn Language., , and . CoRR, (2014)Experiments on Ensembles with Missing and Noisy Data., , , and . Multiple Classifier Systems, volume 3077 of Lecture Notes in Computer Science, page 293-302. Springer, (2004)Watch, Listen & Learn: Co-training on Captioned Images and Videos., , , and . ECML/PKDD (1), volume 5211 of Lecture Notes in Computer Science, page 457-472. Springer, (2008)Using Both Latent and Supervised Shared Topics for Multitask Learning., , , and . ECML/PKDD (2), volume 8189 of Lecture Notes in Computer Science, page 369-384. Springer, (2013)