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

• URL: http://arxiv.org/abs/2207.13919v1
• Date: Thu, 28 Jul 2022 07:19:08 GMT
• Title: Persona-Knowledge Dialogue Multi-Context Retrieval and Enhanced Decoding Methods
• Authors: Min Sik Oh, Min Sang Kim
• Abstract summary: We tackle Persona-Knowledge identification and response generation tasks. We design an informed data augmentation strategy that is compatible with neural Q&A retrieval models. We achieve SOTA across official metrics with 93.99% Grounding accuracy average and 23.62 SacreBLEU score.
• Score: 1.066048003460524
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Persona and Knowledge dual context open-domain chat is a novel dialogue generation task introduced recently. While Persona and Knowledge is each interesting context of open-domain dialogue, the combination of both has not been well studied. We tackle Persona-Knowledge identification and response generation tasks in this paper. We design an informed data augmentation strategy that is compatible with neural Q&A retrieval models. With the augmented data, we perform permutative Persona-Knowledge evaluation and successive Persona search fine-tuning. Furthermore, we perform dialogue generation with various decoding techniques and illustrate crucial elements. We achieve SOTA across official metrics with 93.99% Grounding accuracy average and 23.62 SacreBLEU score.

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