Named Entity Recognition 25.2
Named Entity Recognition User and Programming Guide

# CellEntityN

The entities to extract for the cell rows of input tables. This parameter allows you to extract entities from structured data.

When matching CSV or TSV input, Named Entity Recognition matches the first one or more non-empty row of input against the configured header entities (see HeaderEntityN and MaxSearchHeaderRow). In subsequent rows, Named Entity Recognition matches individual cells against the cell entity corresponding to the matched header entity, if any.

For example:

    HeaderEntity0=pii/date/dob/landmark/all
    CellEntity0=pii/date/nocontext/all

This example matches date of birth landmark values in the header, and for all subsequent rows in that column, it extracts any date values.

You can specify multiple entities in a comma-separated list. If the table header matches any of the configured header entities, Named Entity Recognition matches the cell content against any of the configured cell entities. This option might be useful if you want to match a particular entity in multiple languages, or if you want to include a custom entity.

You can also use wildcard expressions in the entity names. The * wildcard matches any number of characters, and the ? wildcard matches a single character.

For more information about table extraction, see Extract Entities from Tables.

Type: | String
Default: | None
Required: | No
Configuration Section: | Eduction
Example: |
    HeaderEntity0=pii/date/dob/landmark/all
    CellEntity0=pii/date/nocontext/all
See Also: | HeaderEntityN CellEntityMatchLimitN

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Version 25.2 | Last updated April 2025

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Product: Knowledge Discovery Named Entity Recognition 25.2

Topic Title: CellEntityN