Learning from Interaction: An Intelligent Networked-Based Human-Bot and Bot-Bot Chatbot System

@inproceedings{Bird2018LearningFI,
  title={Learning from Interaction: An Intelligent Networked-Based Human-Bot and Bot-Bot Chatbot System},
  author={Jordan J. Bird and Anik{\'o} Ek{\'a}rt and Diego Resende Faria},
  booktitle={UKCI},
  year={2018}
}
In this paper we propose an approach to a chatbot software that is able to learn from interaction via text messaging between human-bot and bot-bot. [] Key Method Similar methods are used to detect offensive messages, and are proved to be effective at overcoming the issues that other chatbots have experienced in the open domain. A philosophy of giving preference to too much censorship rather than too little is employed given the failure of Microsoft Tay.
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