Papers by Fan-yun Sun

1 papers
Put Chatbot into Its Interlocutor’s Shoes: New Framework to Learn Chatbot Responding with Intention (2021.naacl-main)

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Challenge: Currently, most work on improving the fluency and coherence of chatbots is focused on making them more human-like.
Approach: They propose a framework to train chatbots to possess human-like intentions by making them learn from interactive conversation.
Outcome: The proposed framework includes a guiding chatbot and an interlocutor model that plays the role of humans.

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