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We address the problem of information flow in disaster relief scenarios by presenting an architecture for generating natural language dialogues between large numbers of agents. This architecture is the first step towards real-time support systems for relief workers and their controllers. Our work demonstrates how techniques from the Mike commentary system for RoboCup soccer can be carried over to the domain of RoboCup Rescue. Thanks to this background, the initial product of our research is a system that explains a RoboCup Rescue simulation not to the agents in the domain themselves but to a watching audience. This “commentary” is produced by recreating the actual dialogues most likely be occurring in the domain: walkie-talkie conversations.
KeywordsDisaster Relief Importance Score Rescue Worker Natural Language Generation Relief Worker
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