文章基本信息

标题：Using tags in an AIML-based chatterbot to improve its knowledge
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作者：F. A. Mikic ; J. C. Burguillo ; A. Peleteiro 等
期刊名称：Computer Science
印刷版ISSN：1508-2806
出版年度：2012
卷号：13 (2)
期号：Vol. 13 (2)
页码：123-133
语种：English
出版社：Data set: BazTech
摘要：Nowadays, it is common to find on the Internet different conversational robots which interact with users simulating a natural language conversation. Among them, we can emphasize the chatterbots based on AIML language. In this paper we present an AIML based chatterbot that shows as its main contribution the use of tags and folksonomies. Thanks to its use, we can generate a context for each conversation, being able to maintain a state for each user in the system, and improving the adaptation capabilities of the bot.
关键词：AIML; chatterbots; folksonomies; tagging; natural language