Personalized Dialogue Agents are conversational models in which the model has a sense of personality; i.e., given a set of personality traits, the model should give responses that are coherent with that
personality. This investigation explores utilizing BERT-based architecutres for Language Modelling and compares the ability of GPT-2 and BERT to understand contextual information in personalized dialogue agents.
Link to paper: https://drive.google.com/file/d/1xkvaYt76C4gA1Wcyn31W-TJZL_mOiQjK/view
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Link to paper: https://drive.google.com/file/d/1xkvaYt76C4gA1Wcyn31W-TJZL_mOiQjK/view
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