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This invention describes a system for extracting facts from written text. It works by using at least two different methods to pull out information, then specifically identifies when a first textual annotation associated with one extracted fact overlaps with a second textual annotation from another extracted fact. A special function then resolves these overlaps or conflicts, for instance, by modifying, deleting, or merging the conflicting information, to create a single, consistent list of facts.
Why it matters: Filed before the widespread adoption of large language models (LLMs), this invention's focus on arbitrating conflicting or overlapping information extractions is highly relevant today. LLMs often produce multiple interpretations or extractions, and combining their outputs with other techniques creates a greater need for robust conflict resolution mechanisms like those described.
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