Joint Intent and Slot Classification Bert - NGC Catalog
mBERT is a multilingual pre-trained model, which is trained with the same strategies as BERT mBERT is trained on 15 G of the Wikipedia dataset
BERT for joint intent classification and slot filling bert slot mBERT is a multilingual pre-trained model, which is trained with the same strategies as BERT mBERT is trained on 15 G of the Wikipedia dataset bert slot Moreover, BERT contextual representation is combined with WFST and trained simultaneously on supervised data using a gradient descent algorithm
qq89 slot 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-
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