Joint intent detection and slot filling for Turkish natural language

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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  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

new missouri lottery scratchers Moreover, BERT contextual representation is combined with WFST and trained simultaneously on supervised data using a gradient descent algorithm  The model employs pre-trained BERT to extract semantic features and utilizes semantic fusion to associate and integrate this information The