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A Survey of First-Order Probabilistic Models.

, , and . Innovations in Bayesian Networks, volume 156 of Studies in Computational Intelligence, Springer, (2008)

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Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering., , and . Artif. Intell., 170 (16-17): 1137-1174 (2006)Bootstrapping Transliteration with Constrained Discovery for Low-Resource Languages., , and . CoRR, (2018)From Paraphrase Database to Compositional Paraphrase Model and Back, , , , and . Transactions of the Association for Computational Linguistics, (2015)Machine Learning with World Knowledge: The Position and Survey., and . CoRR, (2017)On the Capabilities and Limitations of Reasoning for Natural Language Understanding., , , , and . CoRR, (2019)Understanding evolution of research themes: a probabilistic generative model for citations., , and . KDD, page 1115-1123. ACM, (2013)Using domain knowledge and domain-inspired discourse model for coreference resolution for clinical narratives., and . JAMIA, 20 (2): 356-362 (2013)Learning to Reason with a Restricted View., and . COLT, page 301-310. ACM, (1995)Learning to Perform Knowledge-Intensive Inferences.. MFCS, volume 1295 of Lecture Notes in Computer Science, page 108-109. Springer, (1997)A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition., , and . ECCV (4), volume 2353 of Lecture Notes in Computer Science, page 685-699. Springer, (2002)