This invention describes a computer system that answers a user's first question. After providing the initial answer, the system identifies important words from both the first question and its answer, then removes some of these words. It then uses the remaining words to suggest a second question, which the user selects, and the system provides an answer to that as well.
Why it matters: The patent's method for generating follow-up questions relies on explicit keyword extraction and removal. Since 2017, the rise of Large Language Models (LLMs) has made generating contextually relevant and natural follow-up questions significantly easier and more sophisticated, potentially bypassing the need for such specific keyword manipulation.
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