What are the characteristics of a semi-structured document?
A.
Semi-structured documents are documents that do not follow a strict format and are not to specified data fields. They do not have a fixed form but follow a common enough format. They contain fixed and variable parts like tables and may contain paragraphs.
B.
Semi-structure documents do not follow a clear and predefined structure. They have no fixed format. These files are all easily understood by humans, while it is more difficult for a robot to understand them.
C.
Semi-structure documents have a fixed format and can contain handwriting, signatures, or checkboxes like forms, passports, and contracts.
D.
Semi-structure documents have a fixed format and are generally called forms. They are generally use for collecting information in a precise format area where each piece of data needs to be entered.
Semi-structured documents are documents that have some degree of structure, but not enough to be easily processed by traditional data management systems. They usually have a common schema or layout, but the data fields may vary in number, position, or content. They may also contain unstructured elements such as text, images, or handwriting. Examples of semi-structured documents are invoices, receipts, purchase orders, utility bills, and contracts. These documents are often used in business processes and require data extraction and classification. UiPath Document Understanding provides out-of-the-box Machine Learning Models to handle semi-structured documents in a template-less approach12.
References:
Introducing Document Understanding - UiPath
Document Understanding - About ML Packages - UiPath Documentation Portal
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