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Continual Relation Extraction via Sequential Multi-Task Learning.

, , , , and . AAAI, page 18444-18452. AAAI Press, (2024)

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An effective and interpretable method for document classification., , , and . Knowl. Inf. Syst., 50 (3): 763-793 (2017)Continual Relation Extraction via Sequential Multi-Task Learning., , , , and . AAAI, page 18444-18452. AAAI Press, (2024)Unsupervised Domain Adaptation for Text Classification via Meta Self-Paced Learning., , and . COLING, page 4741-4752. International Committee on Computational Linguistics, (2022)Reducing Class Overlapping in Supervised Dimension Reduction., , , and . SoICT, page 8-15. ACM, (2018)Multi-labeled document classification using semi-supervived mixture model of Watson distributions on document manifold., , , and . SoCPaR, page 123-128. IEEE, (2013)Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings., , , and . ACL (1), page 4201-4207. Association for Computational Linguistics, (2019)Streaming aspect-sentiment analysis., , , , and . RIVF, page 181-186. IEEE, (2016)Continual variational dropout: a view of auxiliary local variables in continual learning., , , , and . Mach. Learn., 113 (1): 281-323 (January 2024)Infinite Dropout for training Bayesian models from data streams., , , and . IEEE BigData, page 125-134. IEEE, (2019)Enriching User Representation in Neural Matrix Factorization., , , and . RIVF, page 1-6. IEEE, (2019)