ESP Classify Method

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Can be one of the following types:

Value	Description
Reference	Delegates extraction to another configured extractor, enabling reuse and centralization of extraction logic.
AI Column Extractor	Extracts structured content from documents with two-column layouts.
Ask AI	Executes a completion using a large language model (LLM) and returns one hit for each choice in the response.
Detect Signature	Detects a signature within a specified region of a document page by measuring the percentage of the area that is filled.
Entity Recognition	Identifies and categorizes entities such as people, organizations, locations, and quantities in unstructured text.
Field Match	Matches the value stored in a previously-extracted field or table column.
Find Barcode	Searches for barcode values in document Layout Data previously detected during image processing.
Highlight Zone	Defines a region of a document to be visually highlighted, without extracting any data values.
Key Phrase Extraction	Identifies key concepts and topics in text using Azure AI Language key phrase extraction.
Label Match	Matches a list of one or more label values, using matching options defined by a Labeling Behavior.
Labeled OMR	Reads a group of one or more checkboxes located nearby text labels.
Labeled Value	Extracts a field presented as a label-value pair within a document, associating labels and values based on their spatial relationship.
List Match	Extracts values from document text that match any entry in a list of search terms.
Ordered OMR	Reads one or more checkboxes with a consistent order of appearance inside a rectangular region.
Pattern Match	Extracts values from document text that match a specified regular expression pattern.
Pii Entity Recognition	Identifies, categorizes, and redacts sensitive information (PII) in unstructured text using Azure AI Language Services.
Query HTML	Extracts values from an HTML document using a CSS or XPath selector.
Query XML	Extracts values from XML documents using XPATH queries, enabling structured data extraction from XML content in Grooper.
Read Barcode	Extracts barcode values from document images using configurable barcode recognition.
Read Metadata	Reads a metadata value from a document by accessing a property on an attachment or content link.
Read Zone	Extracts text content from a specified rectangular region (zone) of a document.
Select Page	Selects and outputs the full content of one or more pages from a document, based on page number and/or content criteria.
Word Match	Extracts individual words and multi-word phrases (N-grams) from document text for use in classification, data extraction, and normalization.
Zonal OMR	Reads one or more checkboxes using manually-configured zones.

The provided Extractor must define and output a group named 'PageNo', and optionally may define and output a group named 'PageCount'. For example, if the document set contains page numbering like 'Page 1 of 4', the following pattern would generate the required group names: Page (?<PageNo>\d+) of (?<PageCount>\d+).

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Can be one of the following types:

Value	Description
Field Match	Matches the value stored in a previously-extracted field or table column.
Detect Signature	Detects a signature within a specified region of a document page by measuring the percentage of the area that is filled.
Labeled Value	Extracts a field presented as a label-value pair within a document, associating labels and values based on their spatial relationship.
Label Match	Matches a list of one or more label values, using matching options defined by a Labeling Behavior.
Read Metadata	Reads a metadata value from a document by accessing a property on an attachment or content link.
Select Page	Selects and outputs the full content of one or more pages from a document, based on page number and/or content criteria.
Find Barcode	Searches for barcode values in document Layout Data previously detected during image processing.
Highlight Zone	Defines a region of a document to be visually highlighted, without extracting any data values.
Labeled OMR	Reads a group of one or more checkboxes located nearby text labels.
Ordered OMR	Reads one or more checkboxes with a consistent order of appearance inside a rectangular region.
Read Barcode	Extracts barcode values from document images using configurable barcode recognition.
Read Zone	Extracts text content from a specified rectangular region (zone) of a document.
Reference	Delegates extraction to another configured extractor, enabling reuse and centralization of extraction logic.
Zonal OMR	Reads one or more checkboxes using manually-configured zones.
List Match	Extracts values from document text that match any entry in a list of search terms.
Pattern Match	Extracts values from document text that match a specified regular expression pattern.
Word Match	Extracts individual words and multi-word phrases (N-grams) from document text for use in classification, data extraction, and normalization.
Query XML	Extracts values from XML documents using XPATH queries, enabling structured data extraction from XML content in Grooper.
Query HTML	Extracts values from an HTML document using a CSS or XPath selector.
Ask AI	Executes a completion using a large language model (LLM) and returns one hit for each choice in the response.
AI Column Extractor	Extracts structured content from documents with two-column layouts.
Entity Recognition	Identifies and categorizes entities such as people, organizations, locations, and quantities in unstructured text.
Key Phrase Extraction	Identifies key concepts and topics in text using Azure AI Language key phrase extraction.
Pii Entity Recognition	Identifies, categorizes, and redacts sensitive information (PII) in unstructured text using Azure AI Language Services.

The bullet extractor is used during ESP Auto Separation when analyzing Unstructured Document Types. In some cases, it is possible to determine that two pages are part of the same document based on the numbering in bulleted lists. For example, consider a page containing the bullet numbers shown below:

1. Definitions. Paragraph text...
2. Parties. Paragraph text...
3. Effective Date. Paragraph text...

If the following page contains these bullet numbers, this is evidence that both pages are part of the same document.

4. Severability. Paragraph text...
5. Term. Paragraph text...
6. Confidentiality. Paragraph text...

The bullet extractor should return only individual letters or numeric digits. Surrounding punctuation should excluded from the output value.