Intent Detection and Slot Filling for Vietnamese
Intent Detection and Slot Filling for Vietnamese
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This notebook is a partial reproduction of some of the results presented in this paper: BERT for Joint Intent Classification and Shot Filling, Qian Chen, Zhu
Intent Detection and Slot Filling for Vietnamese Keywords— natural language understanding, intent detection, slot filling, MmTravel, pre-trained language model, BERT I BACKGROUND In recent years, numerous
This notebook is a partial reproduction of some of the results presented in this paper: BERT for Joint Intent Classification and Shot Filling, Qian Chen, Zhu
fairy dust slot Created almost 200 years ago by Victorian horticulturalist Robert Holford, discover how one man's passion for plants created the world's most beautiful
Natural language understanding has two core tasks: intent classification and slot filling The success of pre-training language models
bert for joint intent classification and slot filling Bibliographic details on BERT for Joint Intent Classification and Slot Filling
Joint Intent Classification and Slot filling with BERT This notebook is based on the paper BERT for Joint Intent Classification and Slot Filling by Chen et al
Materials
Materials
Crafted from Italian cow leather, and suede. Comes with switchable straps, can be used as top handle bag or shoulder bag. Ultrasuede® interior.
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Dimensions
Dimensions
h:14 X w:19 cm (5 1/2 X 7 1/2 in)
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Care Instructions
Intent Detection and Slot Filling for Vietnamese
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