Joint intent detection and slot filling for Turkish natural language

Joint intent detection and slot filling for Turkish natural language bert slot
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bert for joint intent classification and slot filling Natural language understanding has two core tasks: intent classification and slot filling The success of pre-training language models

bert slot BERT-Joint Transformer-NLU Figure 1: Model architectures for joint learning of intent and slot filling: In addition, we demonstrate that joint training as well as the use of pre-trained lan- guage models, ELMo and BERT in our case, are complementary to these few-