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This invention describes a computer program designed to automatically create practice questions and answers for training an AI system. It works by scanning a collection of documents, identifying specific text patterns based on elements like words, grammar, or named entities. The system then applies pre-defined rules corresponding to these patterns to generate relevant questions and their answers directly from the text.
Why it matters: Filed before Large Language Models (LLMs) could perform sophisticated text understanding and generation. The rule-based pattern identification and Q&A generation described could now be significantly enhanced or automated by modern LLMs.
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