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The DREAM project creates a new computational model for dialogue agents that learn to engage in conversation through data. By integrating linguistic theories and machine learning, it aims to enhance the effectiveness of conversational agents in understanding and participating in human-like dialogue.
Our ability to communicate using language in conversation is considered the hallmark of human intelligence.
Yet, while holding a dialogue is effortless for most of us, modelling this basic human skill by computational means has proven extremely difficult.
In DREAM, I address this challenge by establishing a new computational model of a dialogue agent that can learn to take part in conversation directly from data about language use. DREAM stands at the crossroads of the symbolic and the sub-symbo…
UNIVERSITEIT VAN AMSTERDAM
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