论文标题
利用在线社区帖子的可扩展聊天机器人平台：概念验证研究
A Scalable Chatbot Platform Leveraging Online Community Posts: A Proof-of-Concept Study
论文作者
论文摘要
自然语言处理算法的发展和对话数据的爆炸性增长令人鼓舞地研究了人类计算机对话。尽管如此，大规模获取合格的对话数据还是很困难且昂贵的。在本文中，我们通过将数据驱动的聊天机器人用作伪会议的数据来验证使用数据驱动的聊天机器人的可行性。我们认为，用于各种目的的聊天机器人可以通过利用社区帖子的共同结构的管道来广泛构建。我们的实验表明，沿管道创建的聊天机器人可以产生适当的响应。
The development of natural language processing algorithms and the explosive growth of conversational data are encouraging researches on the human-computer conversation. Still, getting qualified conversational data on a large scale is difficult and expensive. In this paper, we verify the feasibility of constructing a data-driven chatbot with processed online community posts by using them as pseudo-conversational data. We argue that chatbots for various purposes can be built extensively through the pipeline exploiting the common structure of community posts. Our experiment demonstrates that chatbots created along the pipeline can yield the proper responses.
