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Training Structured Prediction Energy Networks with Indirect Supervision.

, , and . NAACL-HLT (2), page 130-135. Association for Computational Linguistics, (2018)

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Conditional random fields: Probabilistic models for segmenting and labeling sequence data., , and . (2001)Practical Markov Logic Containing First-Order Quantifiers with Application to Identity Uncertainty, and . Proceedings of the Workshop on Computationally Hard Problems and Joint Inference in Speech and Language Processing, page 41--48. New York City, New York, Association for Computational Linguistics, (June 2006)Toward Conditional Models of Identity Uncertainty with Application to Proper Noun Coreference., and . IIWeb, page 79-84. (2003)Conditional Models of Identity Uncertainty with Application to Noun Coreference, and . Advances in Neural Information Processing Systems 17, page 905--912. MIT Press, (2005)Learning to Predict the Quality of Contributions to Wikipedia, , and . WikiAI'08: Proceedings of the Workshop on Wikipedia and Artificial Intelligence: An Evolving Synergy, page 7--12. AAAI Press, (2008)Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension., , , , and . CoRR, (2018)Alternating Projections for Learning with Expectation Constraints, , and . CoRR, (2012)Training for Fast Sequential Prediction Using Dynamic Feature Selection., , and . CoRR, (2014)Efficiently Inducing Features of Conditional Random Fields. CoRR, (2012)Fast and Accurate Sequence Labeling with Iterated Dilated Convolutions., , , and . CoRR, (2017)