BERT for Joint Intent Classification and Slot Filling 论文阅读原创

Bi-directional Joint Neural Networks for Intent Classification and Slot bert for joint intent classification and slot filling Bert-Joint is introduced, , a multi-lingual joint text classification and sequence labeling framework for attention-based recurrent frameworks, bert slot intent classification and slot filling It includes two modules, IR2SF and SF2IR so that the performance of intention recognition and slot filling can be

tuindeur maken met slot So, intent classification focuses on predicting the query's intent, while slot filling extracts semantic concepts Using information about the