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Revisit Out-Of-Vocabulary Problem for Slot Filling: A Unified Contrastive Frameword with Multi-level Data Augmentations., , , , , , , , , и 2 other автор(ы). CoRR, (2023)Clear Up Confusion: Advancing Cross-Domain Few-Shot Relation Extraction through Relation-Aware Prompt Learning., , , , , , , , и . NAACL (Short Papers), стр. 70-78. Association for Computational Linguistics, (2024)Revisit Out-Of-Vocabulary Problem For Slot Filling: A Unified Contrastive Framework With Multi-Level Data Augmentations., , , , , , , , , и 2 other автор(ы). ICASSP, стр. 1-5. IEEE, (2023)Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task., , , , , , , , , и 1 other автор(ы). NLPCC (1), том 14302 из Lecture Notes in Computer Science, стр. 682-694. Springer, (2023)Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-Training for Noisy Slot Filling Task., , , , , , и . ICASSP, стр. 6150-6154. IEEE, (2024)PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling., , , , , , , , , и 3 other автор(ы). COLING, стр. 5327-5334. International Committee on Computational Linguistics, (2022)Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation Extraction., , , , , , , и . NAACL (Short Papers), стр. 79-85. Association for Computational Linguistics, (2024)DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task., , , , , , , и . EMNLP (Findings), стр. 10506-10518. Association for Computational Linguistics, (2023)A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Named Entity Recognition., , , , , , , , , и 3 other автор(ы). ICASSP, стр. 1-5. IEEE, (2023)Exploiting domain-slot related keywords description for Few-Shot Cross-Domain Dialogue State Tracking., , , , , , , и . EMNLP, стр. 2460-2465. Association for Computational Linguistics, (2022)