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This invention describes a chatbot designed to provide a 'defeating' reply to a user's statement. It works by first breaking down the user's message into its core logical components, represented as a 'discourse tree,' and then doing the same for a potential answer found through a search. The system then checks if the logical structure of the potential answer directly negates or contradicts the user's original statement. If it does, the chatbot presents that answer, specifically focusing on identifying rhetorical relationships like cause, explanation, condition, or reason to form these logical representations, potentially using machine learning.
Why it matters: Filed as large language models (LLMs) were emerging. Today's advanced LLMs can more readily perform the complex discourse analysis and logical negation required by the claims, making the system easier to implement.
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