论文标题
“爱与数学一样复杂”：社交聊天机器人的隐喻生成系统
"Love is as Complex as Math": Metaphor Generation System for Social Chatbot
论文作者
论文摘要
随着人类日常生活中智能聊天机器人的广泛采用，用户对此类系统的需求从基本的任务解决对话演变为更随意和类似朋友的沟通。为了满足用户需求并与用户建立情感联系，社交聊天机器人必须融合更类似人类和高级的语言特征。在本文中，我们调查了人类对社交聊天机器人的隐喻使用常用的修辞手段的用法。我们的工作首先设计了一个隐喻生成框架，该框架产生了主题感知和新颖的象征性句子。通过将框架嵌入到聊天机器人系统中，我们可以使聊天机器人使用比喻语言与用户进行通信。人类注释验证了产生的隐喻的新颖性和正常。更重要的是，我们评估在人类肉体对话中使用隐喻的效果。实验表明，我们的系统有效地引起了用户与我们聊天机器人沟通的用户兴趣，从而导致人类与聊天的对话的更长。
As the wide adoption of intelligent chatbot in human daily life, user demands for such systems evolve from basic task-solving conversations to more casual and friend-like communication. To meet the user needs and build emotional bond with users, it is essential for social chatbots to incorporate more human-like and advanced linguistic features. In this paper, we investigate the usage of a commonly used rhetorical device by human -- metaphor for social chatbot. Our work first designs a metaphor generation framework, which generates topic-aware and novel figurative sentences. By embedding the framework into a chatbot system, we then enables the chatbot to communicate with users using figurative language. Human annotators validate the novelty and properness of the generated metaphors. More importantly, we evaluate the effects of employing metaphors in human-chatbot conversations. Experiments indicate that our system effectively arouses user interests in communicating with our chatbot, resulting in significantly longer human-chatbot conversations.
