Overview - Interactive Knowledge Assistance 2023

Data | Runs | Participants

iKAT is the successor to the Conversational Assistance Track (CAsT). The fourth year of CAST aimed to add more conversational elements to the interaction streams, by introducing mixed initiatives (clarifications, and suggestions) to create multi-path, multi-turn conversations for each topic. TREC iKAT evolves CAsT into a new track to signal this new trajectory. iKAT aims to focus on supporting multi-path, multi-turn, multi-perspective conversations. That is for a given topic, the direction and the conversation that evolves depends not only on the prior responses but also on the user.

Track coordinator(s):

• Mohammed Aliannejadi, University of Amsterdam
• Zahra Abbasiantaeb, University of Amsterdam
• Shubham Chatterjee, University of Glasgow
• Jeff Dalton, University of Glasgow
• Leif Azzopardi, University of Strathclyde

Track Web Page: https://trecikat.com/

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