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Modeling Label Space Interactions in Multi-label Classification using Box Embeddings.

, , , , and . ICLR, OpenReview.net, (2022)

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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)Conditional Models of Identity Uncertainty with Application to Noun Coreference, and . Advances in Neural Information Processing Systems 17, page 905--912. MIT Press, (2005)Toward Conditional Models of Identity Uncertainty with Application to Proper Noun Coreference., and . IIWeb, page 79-84. (2003)Training for Fast Sequential Prediction Using Dynamic Feature Selection., , and . CoRR, (2014)Efficiently Inducing Features of Conditional Random Fields. CoRR, (2012)Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension., , , , and . CoRR, (2018)Toward interactive training and evaluation., and . CIKM, page 947-956. ACM, (2011)Assessing confidence of knowledge base content with an experimental study in entity resolution., , , and . AKBC@CIKM, page 13-18. ACM, (2013)Maximum Entropy Markov Models for Information Extraction and Segmentation, , and . Proc. 17th International Conf. on Machine Learning, page 591--598. Morgan Kaufmann, San Francisco, CA, (2000)