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When dealing with variable-length data, or data spanning over multiple pages of the document (e.g. item tables), what is the recommended data extraction methodology to be used?
Correct Answer: C
Model-based data extraction, often involving machine learning models, is particularly effective for handling complex data structures such as variable-length data or data that spans multiple pages. This approach adapts better to varying formats and can extract information more accurately in such scenarios compared to rule- based or manual methods.