Soft Prompt Tuning for Multilingual Natural Language Understanding in Human–Robot Interaction with Bidirectional Cross-Attention
Natural language understanding (NLU) enables intuitive human–robot interaction (HRI). It requires joint modeling of intent classification and named entity recognition (NER). Existing approaches suffer from three key limitations. Fine-tuning large multilingual pretrained models on domain-specific HRI data incurs high co...