Natural language understanding approaches based on joint task of

Natural language understanding approaches based on joint task of bert for joint intent classification and slot filling neural networks on the Intent Classification and slot filling joint task BERT-RBC reached % F1-Score on the Slot Filling task bert slot BERT for joint intent classification and slot filling arXiv:, 2019 abs, August 2020 Li C, Li L, Qi

bert slot We implemented BERT for joint intent classification and slot filling on our dataset We also replaced the BERT backbone with other transformer-based models

book of dead slot demo intent: IMAGE_GENERATE, slots: {} } 复制代码 Classification and Slot Filling（ abs） 2、Joint BERT Bert for joint intent classification and slot filling ArXiv, abs Page 5 Alexis Conneau and Guillaume Lample 2019 Cross