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Persona and Knowledge dual context open-domain chat is a novel dialoguegeneration task introduced recently. While Persona and Knowledge is eachinteresting context of open-domain dialogue, the combination of both has notbeen well studied. We tackle Persona-Knowledge identification and responsegeneration tasks in this paper. We design an informed data augmentationstrategy that is compatible with neural Q&A retrieval models. With theaugmented data, we perform permutative Persona-Knowledge evaluation andsuccessive Persona search fine-tuning. Furthermore, we perform dialoguegeneration with various decoding techniques and illustrate crucial elements. Weachieve SOTA across official metrics with 93.99% Grounding accuracy average and23.62 SacreBLEU score.

Persona-Knowledge Dialogue Multi-Context Retrieval and Enhanced Decoding Methods