Improving Response Selection in Multi-Turn Dialogue Systems by Incorporating Domain Knowledge

CONLL 2018 Debanjan ChaudhuriAgustinus KristiadiJens LehmannAsja Fischer

Building systems that can communicate with humans is a core problem in Artificial Intelligence. This work proposes a novel neural network architecture for response selection in an end-to-end multi-turn conversational dialogue setting... (read more)

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