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Role play-based question-answering by real users for building chatbots with consistent personalities

机译:真实用户基于角色扮演的问题解答,以构建具有一致个性的聊天机器人

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Having consistent personalities is important for chatbots if we want them to be believable. Typically, many question-answer pairs are prepared by hand for achieving consistent responses; however, the creation of such pairs is costly. In this study, our goal is to collect a large number of question-answer pairs for a particular character by using role play-based question-answering in which multiple users play the roles of certain characters and respond to questions by online users. Focusing on two famous characters, we conducted a large-scale experiment to collect question-answer pairs by using real users. We evaluated the effectiveness of role play-based question-answering and found that, by using our proposed method, the collected pairs lead to good-quality chatbots that exhibit consistent personalities.
机译:如果我们希望聊天机器人可信,那么拥有一致的个性对于聊天机器人至关重要。通常,为了达到一致的响应,需要手工准备许多问题-答案对。然而,创建这样的对是昂贵的。在本研究中,我们的目标是通过使用基于角色扮演的问答来收集针对特定角色的大量问答对,其中多个用户扮演特定角色的角色并响应在线用户的问题。针对两个著名人物,我们进行了一项大规模实验,通过使用真实用户来收集问题-答案对。我们评估了基于角色扮演的问答的有效性,并发现,通过使用我们提出的方法,收集到的配对可产生表现出一致个性的高质量聊天机器人。

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