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This invention describes a system that listens to a user's question within a computer program, understands what the user is doing in that program, and then uses that understanding to find the right answer from a database. It works by loading specific language rules or word lists based on the user's current activity to help interpret the question, especially focusing on word groupings like noun or adjective phrases.
Why it matters: Filed before large language models could dynamically infer context and process queries. The claims describe using explicit grammars and dictionaries, which modern AI can now handle more flexibly and effectively, making the core goal of context-aware query response far more achievable.
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