Papers with dialogue utterance encoder

1 papers
Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking (2022.acl-long)

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Challenge: Existing approaches to model the relations between domains and slots fail to address these issues and can be generalized to unseen domains.
Approach: They propose a Dynamic Schema Graph Fusion Network which generates a dynamic schema graph to explicitly fuse prior slot-domain membership relations and dialogue-aware dynamic slot relations.
Outcome: The proposed model outperforms existing methods on benchmark datasets showing that it can extract users' goals or intentions as dialogue states and keep them updated over the whole dialogue.

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