This invention describes a computer system that takes a user's question, figures out what they're really asking about (like a person, company, or event), and then finds and organizes relevant information from various sources. For example, if you ask about a political figure, it specifically looks for their election campaigns, public statements, and service history. If you ask about a company, it finds news, official information, and press releases.
Why it matters: Filed before large language models (LLMs) made sophisticated natural language understanding and information extraction widely accessible. The core tasks of inferring user intent and categorizing information are now significantly easier and more accurate to implement.
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