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Meta-Learning Improves Lifelong Relation Extraction.

, and . RepL4NLP@ACL, page 224-229. Association for Computational Linguistics, (2019)

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Meta-Learning Improves Lifelong Relation Extraction., and . RepL4NLP@ACL, page 224-229. Association for Computational Linguistics, (2019)Continual Quality Estimation with Online Bayesian Meta-Learning., , and . ACL/IJCNLP (2), page 190-197. Association for Computational Linguistics, (2021)Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision., and . ACL (1), page 5873-5879. Association for Computational Linguistics, (2019)Bayesian Model-Agnostic Meta-Learning with Matrix-Valued Kernels for Quality Estimation., , and . RepL4NLP@ACL-IJCNLP, page 223-230. Association for Computational Linguistics, (2021)Knowledge Distillation for Quality Estimation., , , , , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 5091-5099. Association for Computational Linguistics, (2021)Contextual Pattern Embeddings for One-shot Relation Extraction., and . AKBC@NIPS, OpenReview.net, (2017)A Low Cost Course Information Syndication System., , , , and . J. Inf. Technol. Educ. Innov. Pract., (2011)deepQuest-py: Large and Distilled Models for Quality Estimation., , , , , and . EMNLP (Demos), page 382-389. Association for Computational Linguistics, (2021)Meta-Learning Adaptive Knowledge Distillation for Efficient Biomedical Natural Language Processing., and . AACL/IJCNLP (Findings), page 131-137. Association for Computational Linguistics, (2022)