QuestionQ119Verified/UiPath Document UnderstandingCopy linkReport a problemAsk AstroTutorSave questionWhat distinguishes rule-based data-extraction methodologies from model-based methodologies?ARule-based extraction is more computationally intensive, whereas model-based systems are simpler and require fewer computational resources.BRule-based extraction requires manual data labeling, while model-based extraction does not need any label or training data.CRule-based extraction relies on predefined rules and patterns, while model-based extraction utilizes machine learning algorithms to automatically identity and extract data.DModel-based extraction is only effective for structured data sources, whereas rule-based extraction can handle both structured and unstructured data sources seamlessly.Show AnswerAnswerExplanationRule-based extraction applies predefined rules and patterns, whereas model-based extraction uses machine-learning algorithms to learn how to identify and extract data.Show comments0Show commentsCommunity DiscussionNo comments yet. Be the first to start the discussion!
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