BERT For Joint Intent Classification and Slot Filling PDF

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BERT is used for intent recognition and slot filling because it effectively integrates the semantic information of intention and slot labels

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game slot deposit pulsa tanpa potongan slot filling in a single recurrent neural network architecture BERT Building on Stack - Propagation , using a pre The pre-trained model BERT and BiLSTM networks were trained as a wholein order to improve the performance of semantic slot filling