Intent-Slot Correlation Modeling for Joint Intent Prediction and Slot
Intent-Slot Correlation Modeling for Joint Intent Prediction and Slot
bert for joint intent classification and slot filling
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neural networks on the Intent Classification and slot filling joint task BERT-RBC reached % F1-Score on the Slot Filling task
BERT for joint intent classification and slot filling arXiv:, 2019 abs, August 2020 Li C, Li L, Qi J A self
bert slot Slot and Intent denote the number of slot labels and intent types BERT base as the basis, which has 12 layers and 12 heads The dimension
bert for joint intent classification and slot filling regarded as a semantic utterance classification problem to Moreover, the performance of conventional network w BERT is still lower than HAN w BERT and HAN