Daichi Guo
Orcid: 0009-0003-4928-8279
According to our database1,
Daichi Guo
authored at least 11 papers
between 2022 and 2024.
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Bibliography
2024
Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation Extraction.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024
Clear Up Confusion: Advancing Cross-Domain Few-Shot Relation Extraction through Relation-Aware Prompt Learning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024
Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-Training for Noisy Slot Filling Task.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
Revisit Out-Of-Vocabulary Problem for Slot Filling: A Unified Contrastive Frameword with Multi-level Data Augmentations.
CoRR, 2023
Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task.
Proceedings of the Natural Language Processing and Chinese Computing, 2023
Revisit Out-Of-Vocabulary Problem For Slot Filling: A Unified Contrastive Framework With Multi-Level Data Augmentations.
Proceedings of the IEEE International Conference on Acoustics, 2023
A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Named Entity Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023
DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
Exploiting domain-slot related keywords description for Few-Shot Cross-Domain Dialogue State Tracking.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling.
Proceedings of the 29th International Conference on Computational Linguistics, 2022