Overview - Conversational Assistance 2022

Proceedings | Data | Results | Runs | Participants

The main aim of Conversational Assistance Track (CAsT) is to advance research on conversational search systems. The goal of the track is to create reusable benchmarks for open-domain information centric conversational dialogues.

Track coordinator(s):

• Leif Azzopardi, University of Strathclyde
• Jeff Dalton, University of Glasgow
• Mohammed Alian Nejadi, University of Amsterdam
• Paul Ogbonoko, University of Glasgow
• Johanne Trippas, University of Melbourne
• Svitlana Vakulenko, University of Amsterdam

Tasks:

• mixed: Mixed Initiative
• primary: Primary

Track Web Page: https://www.treccast.ai/

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