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Athena: Constructing Dialogues Dynamically with Discourse Constraints

arXiv 2011.10683 ↗First posted 21 Nov 2020cs.CLcited by 7

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Abstract (arXiv)

This report describes Athena, a dialogue system for spoken conversation on popular topics and current events. We develop a flexible topic-agnostic approach to dialogue management that dynamically configures dialogue based on general principles of entity and topic coherence. Athena's dialogue manager uses a contract-based method where discourse constraints are dispatched to clusters of response generators. This allows Athena to procure responses from dynamic sources, such as knowledge graph traversals and feature-based on-the-fly response retrieval methods. After describing the dialogue system architecture, we perform an analysis of conversations that Athena participated in during the 2019 Alexa Prize Competition. We conclude with a report on several user studies we carried out to better understand how individual user characteristics affect system ratings.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Nov 2020.

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Citing papers per year: 2021: 4; 2022: 0; 2023: 3.

7 papers.