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This invention describes a computer program that automatically fixes errors in tables when documents are converted from one format to another. It works by first identifying common issues like garbled text, incorrect splits, or inconsistent values. Then, it corrects these errors by recognizing table patterns, using language understanding to combine text, adjusting cell data with specialized knowledge, and merging any fragmented table sections to produce a clean, accurate table.
Why it matters: Filed before the widespread adoption of highly capable Large Language Models (LLMs), which have since revolutionized natural language processing and semantic understanding. The complex tasks of identifying table structure, correcting text strings, and applying linguistic knowledge, central to this invention, could now be significantly streamlined and improved using modern AI.
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