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Tag Archives: AIML

Improving Chatbot Accuracy -Draft

This entry is part 5 of 13 in the series The State of Chatbots

Researchers have employed a variety of methods to improve their chatbot’s accuracy. Most current chatbots use a dialog management module and knowledge base and rules, which they use with templates to match user input. Improving chatbot accuracy may be accomplished through expanding the chatbot knowledge base, improving upon the standard rule-based conversation method for chatbots, [...]

Posted 12 April 2009 † Robert Whetsel § Research ‡ Comments (0) ° Also tagged: , , , , , , ,

Rule-Based Conversation -Draft

This entry is part 1 of 13 in the series The State of Chatbots

The majority of current chatbots use a rule-based approach to interact with the user. In order to imitate human conversations, developers use a linguistic model combined with computational algorithms to build chatbots. Depending on the chatbot, rules can be based on simple textual pattern matching or complicated rules based on inference mechanisms (De Angeli & [...]

Posted 11 April 2009 † Robert Whetsel § Research ‡ Comments (0) ° Also tagged: , , , , , , , ,