Researchers at the University of Osaka have developed a mechanism that allows spoken dialog systems to learn new words through conversation without overwhelming users with repetitive questions. By optimizing when to ask a question using reinforcement learning, the system can achieve efficient knowledge acquisition with minimal interruptions.
Dialogue systems learn new words with fewer questions
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