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MCSE: Multimodal Contrastive Learning of Sentence Embeddings.

, , , , and . NAACL-HLT, page 5959-5969. Association for Computational Linguistics, (2022)

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Weak supervision and label noise handling for Natural language processing in low-resource scenarios.. Saarland University, Saarbrücken, Germany, (2022)SoloFinger: Robust Microgestures while Grasping Everyday Objects., , , , , , , , and . CHI, page 744:1-744:15. ACM, (2021)Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels., , and . EMNLP/IJCNLP (1), page 3552-3557. Association for Computational Linguistics, (2019)Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling., , , and . NAACL-HLT (Student Research Workshop), page 29-34. Association for Computational Linguistics, (2019)Label-Descriptive Patterns and Their Application to Characterizing Classification Errors., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 8691-8707. PMLR, (2022)Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá., , , , and . AfricaNLP, (2020)MCSE: Multimodal Contrastive Learning of Sentence Embeddings., , , , and . NAACL-HLT, page 5959-5969. Association for Computational Linguistics, (2022)Meta Self-Refinement for Robust Learning with Weak Supervision., , , and . EACL, page 1043-1058. Association for Computational Linguistics, (2023)Analysing the Noise Model Error for Realistic Noisy Label Data., , and . AAAI, page 7675-7684. AAAI Press, (2021)Using Multi-Sense Vector Embeddings for Reverse Dictionaries., , , and . IWCS (1), page 247-258. Association for Computational Linguistics, (2019)