What are the two main data extraction methodologies used in document understanding processes?
What are the two main data extraction methodologies used in document understanding processes?
The two main data extraction methodologies used in document understanding processes are rule-based and model-based data extraction. Rule-based data extraction is effective for structured documents, where the information follows a predictable pattern. Model-based data extraction, on the other hand, leverages machine learning and AI techniques to handle semi-structured and unstructured documents, where the information does not follow a strict format.
Based on the classification of documents, there are two common types of data extraction methodologies. Rule-based data extraction targets structured documents, while model-based data extraction is used to process semi-structured and unstructured documents.