What is the difference between rule-based and model-based data extraction methodologies?

What is the difference between rule-based and model-based data extraction methodologies?
A . Rule-based extraction is more computationally intensive whereas model based systems are simpler and require fewer computational resources
B . Rule-based extraction requires manual data labeling while model-based extraction does not need any label or tracing data
C . Rule-based extraction relies on predefined rules and patterns, while model-based extraction utilizes machine learning algorithms to automatically identify and extract data
D . Model-based extraction is only effective for structured data sources whereas rule-based extraction can handle both structured and unstructured data sources seamlessly

Answer: C

Explanation:

Rule-based extraction is a technique that applies a set of predefined rules and patterns to extract data from a document. For example, you can use document templates, data position, occurrence patterns, or regular expressions to define the rules. Rule-based extraction is suitable for structured documents, such as forms, that have a fixed format and layout. However, rule-based extraction can be limited by the complexity and variability of the rules, and it may not be able to handle semi-structured or unstructured documents, such as invoices, contracts, or emails, that have different formats, layouts, or data types.

Model-based extraction is a technique that uses machine learning algorithms to automatically learn

and extract data from a document. For example, you can use classification, clustering, or regression algorithms to train a model based on a set of labeled or unlabeled data. Model-based extraction is effective for semi-structured or unstructured documents, such as invoices, contracts, or emails, that have similar types of information but different formats, layouts, or data types. However, model-based extraction can require more computational resources and data preparation, and it may not be as accurate or consistent as rule-based extraction.

Reference: Document Processing with Improved Data Extraction | UiPath Data Extraction Types & Techniques: A Complete Guide

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