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Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference.

, , , and . NIPS, page 2044-2052. Curran Associates, Inc., (2009)

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Sketching for Latent Dirichlet-Categorical Models., , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 256-265. PMLR, (2019)Distantly Labeling Data for Large Scale Cross-Document Coreference, , and . CoRR, (2010)Canonicalization of database records using adaptive similarity measures., , , , and . KDD, page 201-209. ACM, (2007)Monte Carlo MCMC: Efficient Inference by Approximate Sampling., , and . EMNLP-CoNLL, page 1104-1113. ACL, (2012)Upstream Mitigation Is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models., , , and . ACL (1), page 3524-3542. Association for Computational Linguistics, (2022)Minimally-Constrained Multilingual Embeddings via Artificial Code-Switching., , and . AAAI, page 2849-2855. AAAI Press, (2016)Scalable Probabilistic Databases with Factor Graphs and MCMC., , and . Proc. VLDB Endow., 3 (1): 794-804 (2010)Query-Driven Sampling for Collective Entity Resolution., , and . CoRR, (2015)Assessing confidence of knowledge base content with an experimental study in entity resolution., , , and . AKBC@CIKM, page 13-18. ACM, (2013)A Corpus for Cross-Document Co-reference., , , , and . LREC, European Language Resources Association, (2008)