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Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning.

, , , , и . EMNLP, стр. 6998-7010. Association for Computational Linguistics, (2023)

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Wenpeng Yin

Lu Yin

Renfu Yin

Li Yin

Yin Liu

 

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Deep Learning Embeddings for Discontinuous Linguistic Units., и . ICLR (Workshop Poster), (2014)Meta-learning for Few-shot Natural Language Processing: A Survey. (2020)cite arxiv:2007.09604Comment: no submission intent.Empirical evaluation of multi-task learning in deep neural networks for natural language processing., , , , , и . Neural Comput. Appl., 33 (9): 4417-4428 (2021)Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference., , и . CoRR, (2022)MT-Ranker: Reference-free machine translation evaluation by inter-system ranking., , и . CoRR, (2024)Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks., , , , , и . COLING, стр. 3436-3440. International Committee on Computational Linguistics, (2020)Robustness of Learning from Task Instructions., , , , , и . ACL (Findings), стр. 13935-13948. Association for Computational Linguistics, (2023)Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning., , , , и . EMNLP, стр. 6998-7010. Association for Computational Linguistics, (2023)Event Linking: Grounding Event Mentions to Wikipedia., , , и . EACL, стр. 2671-2680. Association for Computational Linguistics, (2023)Study on grid technology of agricultural climate-environmental information in China., , , , и . IGARSS, стр. 4. IEEE, (2005)