Papers by Pengda Si

1 papers
Enhancing Dialogue Generation with Conversational Concept Flows (2023.findings-eacl)

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Challenge: Existing studies show that explicitly modeling concept flows with a large commonsense knowledge graph improves response quality, but there is a gap between the knowledge graph and the conversation.
Approach: They propose to model human conversational concept flows with a commonsense knowledge graph . they extract abundant concepts and relations from natural conversations and build a conversation-aware knowledge graph.
Outcome: The proposed method performs better than baselines on a large-scale reddit conversation dataset.

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