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This invention describes a system that helps people find specific answers within a collection of documents by understanding their natural language questions. It works by creating a special index that links different ways of asking the same question to exact pieces of information. This index is built by mapping topics and subtopics from the documents into a knowledge graph and adding semantic details to them.
Why it matters: Filed before the widespread adoption of large language models (LLMs). The complex semantic interpretation and knowledge graph generation described in the claims are now significantly more feasible and powerful with modern LLM capabilities, which can automate much of the annotation and linking process.
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