有一个聊天与群集,会话引擎查询大表

HILDA '16 Pub Date : 2016-06-26 DOI:10.1145/2939502.2939504
Thibault Sellam, M. Kersten
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引用次数: 6

摘要

由于最近人工智能的进步和即时通讯应用(如WhatsApp)的流行,聊天机器人不再局限于客户支持服务和计算机博物馆。实际上,它们提供了一种强大的、轻量级的和可访问的方式来通过Internet提供服务。在本文中,我们介绍了一个聊天机器人Clustine,它可以帮助用户通过短消息查询大型表。其主要思想是将聚类分析和文本生成相结合,对查询结果进行压缩,用自然语言进行描述,并提出建议。我们展示了我们系统的架构,用两个用例进行了演示,并用12个真实数据集进行了早期验证实验,以表明它的承诺是可以实现的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Have a chat with clustine, conversational engine to query large tables
Thanks the recent advances of AI and the stellar popularity of messaging apps (e.g., WhatsApp), chatbots are no longer bound to customer support services and computer museums. Indeed, they provide a mighty, lightweight and accessible way to provide services over the Internet. In this paper, we introduce Clustine, a chatbot to help users query large tables through short messages. The main idea is to combine cluster analysis and text generation to compress query results, describe them with natural language and make recommendations. We present the architecture of our system, demonstrate it with two use cases, and present early validation experiments with 12 real datasets to show that its promises are reachable.
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