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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)

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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)Stacked Ensembles of Information Extractors for Knowledge-Base Population by Combining Supervised and Unsupervised Approaches., and . TAC, NIST, (2015)Learning Multi-Modal Grounded Linguistic Semantics by Playing "I Spy"., , , , and . IJCAI, page 3477-3483. IJCAI/AAAI Press, (2016)Guest Editors' Introduction: Machine Learning and Natural Language., and . Mach. Learn., 34 (1-3): 5-9 (1999)Symbolic and Neural Learning Algorithms: An Experimental Comparison., , and . Mach. Learn., (1991)Supervised and Unsupervised Ensembling for Knowledge Base Population., and . CoRR, (2016)Semi-supervised graph clustering: a kernel approach., , , and . ICML, volume 119 of ACM International Conference Proceeding Series, page 457-464. ACM, (2005)Online Structure Learning for Markov Logic Networks., and . ECML/PKDD (2), volume 6912 of Lecture Notes in Computer Science, page 81-96. Springer, (2011)