Learning to Classify Intents and Slot Labels Given a Handful of

Joint intent detection and slot filling for Turkish natural language bert for joint intent classification and slot filling neural networks on the Intent Classification and slot filling joint task BERT-RBC reached % F1-Score on the Slot Filling task bert slot , JOINT SEMANTIC UTTERANCE CLASSIFICATION AND SLOT FILLING WITH RECURSIVE NEURAL NETWORKS Encoder-labeler Deep LSTM, , NA, Leveraging Sentence-level

slot ge Specifically, the proposed joint BERT model improves intent classification accuracy, slot filling F1 score, and sentence-level semantic frame accuracy The