Learning to Memorize Entailment and Discourse Relations for Persona-Consistent Dialogues

Understand

Maintaining engagement and consistency is particularly important in dialogue systems.

• Existing works have improved the performance of dialogue systems by intentionally learning interlocutor personas with sophisticated network structures.
• One issue with this approach is that it requires more personal corpora with annotations.
• Additionally, these models typically perform the next utterance prediction to generate a response but neglect the discourse coherence in the entire conversation.