Athena: Constructing Dialogues Dynamically with Discourse Constraints
arXiv:2011.10683
Abstract
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.
arXiv comment3rd Proceedings of Alexa Prize (Alexa Prize 2019)
References in corpus (7)
- Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech
- Conversational AI: The Science Behind the Alexa Prize
- Individual and Domain Adaptation in Sentence Planning for Dialogue
- MIDAS: A Dialog Act Annotation Scheme for Open Domain Human Machine Spoken Conversations
- Policy-Driven Neural Response Generation for Knowledge-Grounded Dialogue Systems
- SlugBot: Developing a Computational Model andFramework of a Novel Dialogue Genre
- Sounding Board: A User-Centric and Content-Driven Social Chatbot