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Integrating constraints and metric learning in semi-supervised clustering.

, , and . ICML, volume 69 of ACM International Conference Proceeding Series, ACM, (2004)

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EmployingTrainable String Similarity Metrics for Information Integration, and . Proceedings of the XVIII International Joint Conferences on Artificial Intelligence (IJCAI) - Workshop on Information Integration on the Web (IIWeb), Acapulco, M\�exico, (9-10 Agosto 2003)On Evaluation and Training-Set Construction for Duplicate Detection, and . Proceedings of the KDD-2003 Workshop on Data, page 7--12. Washington, DC, (2003)Relational Learning of Pattern-Match Rules for Information Extraction, and . Proceedings of the 1998 AAAI Spring Symposium, Menlo Park, CA, American Association for Artificial Intelligence, (1998)Theory Refinement Combining Analytical and Empirical Methods., and . Artif. Intell., 66 (2): 273-309 (1994)Supervised and Unsupervised Ensembling for Knowledge Base Population., and . CoRR, (2016)Symbolic and Neural Learning Algorithms: An Experimental Comparison., , and . Mach. Learn., (1991)Online Structure Learning for Markov Logic Networks., and . ECML/PKDD (2), volume 6912 of Lecture Notes in Computer Science, page 81-96. Springer, (2011)Semi-supervised graph clustering: a kernel approach., , , and . ICML, volume 119 of ACM International Conference Proceeding Series, page 457-464. ACM, (2005)Multi-Prototype Vector-Space Models of Word Meaning., and . HLT-NAACL, page 109-117. The Association for Computational Linguistics, (2010)Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation., and . HLT-NAACL, page 172-179. The Association for Computational Linguistics, (2007)