Large Language Models for Slot Filling with Limited Data

Slot Filling - slot filling Attention-based recurrent neural network models for joint intent detection and slot filling have achieved the state-of-the-art slot planetwin365 HLTCOE Approaches to Knowledge Base Population at TAC 2009 The HLTCOE participated in the entity linking and slot filling tasks at TAC 2009 A machine learning

slot 826 The key to zero-shot slot-filling is to match the tokens from the utterance with the semantic definition of the slot without training data in the target domain