Model-based extractors rely on which of the following to extract values?

Prepare for the UiPath Specialized AI Professional Test. Study with flashcards and multiple choice questions, each question has hints and explanations to ensure a deep understanding of AI in automation.

Model-based extractors utilize page position and correlation of text as their primary means for extracting values. This method leverages the spatial relationship between text elements on a page and the layout in which they are presented. By focusing on where specific elements appear relative to one another, model-based extractors can accurately identify and extract relevant data even if the exact content varies.

This approach is particularly useful for processing documents where text might not adhere to strict formatting rules or where other extraction methods might fail due to inconsistencies in layout. By relying on the positional and correlational context of textual information, model-based extractors effectively discern and capture the necessary data points for further processing.

While other factors such as text formatting, field layout consistency, and user-defined rules play roles in various extraction techniques, they do not encapsulate the core principle that model-based extractors depend on for value extraction, which is inherently tied to the page's spatial configuration and the relationships between text elements.

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