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Athena 2.0: Discourse and User Modeling in Open Domain Dialogue

arXiv 2308.01887 ↗First posted 3 Aug 2023cs.CLcited by 0

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Abstract (arXiv)

Conversational agents are consistently growing in popularity and many people interact with them every day. While many conversational agents act as personal assistants, they can have many different goals. Some are task-oriented, such as providing customer support for a bank or making a reservation. Others are designed to be empathetic and to form emotional connections with the user. The Alexa Prize Challenge aims to create a socialbot, which allows the user to engage in coherent conversations, on a range of popular topics that will interest the user. Here we describe Athena 2.0, UCSC's conversational agent for Amazon's Socialbot Grand Challenge 4. Athena 2.0 utilizes a novel knowledge-grounded discourse model that tracks the entity links that Athena introduces into the dialogue, and uses them to constrain named-entity recognition and linking, and coreference resolution. Athena 2.0 also relies on a user model to personalize topic selection and other aspects of the conversation to individual users.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 30 of its 60 references that are in the map. First posted on arXiv 3 Aug 2023.

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30 of 60 references.

References · 30

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18 more
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