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Report abuseThe PyTorch implementation of fine-tuning the GPT-2(Generative Pre-trained Transformer 2) for dialogue generation.
The PyTorch implementation of the transformer for machine translation.
Entity extraction using BERT + CRF for single-tun / multi-turn setting in dialogues
Bayesian Optimization implementation for text classifiction
The PyTorch implementation of ReCoSa(the Relevant Contexts with Self-attention) for dialogue generation using the multi-head attention and GRU.
Modified version of T5-DST for Dialogue State Tracking.
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