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Intent classification and slot filling are two essential tasks for natural language understanding. tanahmassukses slot They often suffer from small-scale human-labeled training data, resulting in poor generalization capability, especially for rare words Recently a new language representation model, BERT (Bidirectional Encoder Representations from Transformers), facilitates pre-training deep bidirectional
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