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cs.CL2023
All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm
Jiangshu Du, Congying Xia, Wenpeng Yin +2
In intent detection tasks, leveraging meaningful semantic information from intent labels can be particularly beneficial for few-shot scenarios. However, existing few-shot intent de…
cs.CL2023
Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning
Hoang H. Nguyen, Chenwei Zhang, Ye Liu +1
Recent advanced methods in Natural Language Understanding for Task-oriented Dialogue (TOD) Systems (e.g., intent detection and slot filling) require a large amount of annotated dat…