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Conversational agents are consistently growing in popularity and many peopleinteract with them every day. While many conversational agents act as personalassistants, they can have many different goals. Some are task-oriented, such asproviding customer support for a bank or making a reservation. Others aredesigned to be empathetic and to form emotional connections with the user. TheAlexa Prize Challenge aims to create a socialbot, which allows the user toengage in coherent conversations, on a range of popular topics that willinterest the user. Here we describe Athena 2.0, UCSC's conversational agent forAmazon's Socialbot Grand Challenge 4. Athena 2.0 utilizes a novelknowledge-grounded discourse model that tracks the entity links that Athenaintroduces into the dialogue, and uses them to constrain named-entityrecognition and linking, and coreference resolution. Athena 2.0 also relies ona user model to personalize topic selection and other aspects of theconversation to individual users.

Athena 2.0: Discourse and User Modeling in Open Domain Dialogue