Overview - Conversational Assistance 2021

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):

• Jamie Callan, Carnegie Mellon University
• Jeff Dalton, University of Glasgow
• Chenyan Xiong, Microsoft Research

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

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