Generating AIML rules from Twitter conversations

A chat dialogue system or a conversational agent is a computer program designed to hold a conversation using natural language. Many popular chat dialogue systems are based on handcrafted rules, written in Artificial Intelligence Markup Language (AIML). However, manual design of rules requires significant efforts, so certain approaches for automating this process can be helpful. This paper presents some preliminary experiments to generate AIML knowledge automatically using conversation data acquired from Twitter. The experimental results show the possibility of obtaining natural-language conversation between the user and a dialogue system without the necessity of handcrafting its knowledgebase.