Named Entity Recognition 26.3
Named Entity Recognition User and Programming Guide

# <headword>

Element: headword

Child Elements: none

Description: A headword is the exact sequence of characters that produce an entity match.

Example: See example in <entry>.

Attribute | Value | Default | Description
--- | --- | --- | ---
`<element contents>` | <the headword> |  | The headword value. NOTE: If the `entry` element contains a headword attribute, it cannot have a headword subelement.
`case` | sensitive insensitive inherited | inherited | Determines whether a match is case sensitive. The value `inherited` accepts the case matching mode of the <entry> parent.
`score` | >= 0 | 1 | A score to use to assign any weightings to the matches. A score of `1` is the default score. A score of `0` always excludes the matching tag from the results. You can use this value to specify exceptions to grammar rules. You can use these weightings for a variety of purposes: They can represent the confidence you have in the accuracy of the match (where a value of `1` represents certainty, and lower values represent lesser confidence). They can represent the importance of a match. For example, in the sentiment grammars the score represents the strength of the sentiment. When there are multiple scores, Named Entity Recognition multiplies them together. For example, if a match on an entity has a score of `1.5`, and you use that entity in another entity that has a score of `0.4`, the resulting score is `0.6`. If you specify a minimum score during extraction, Named Entity Recognition extracts only those matches with a sufficiently high score. You can also display the exact scores of any match during extraction. NOTE: OpenText recommends that you set entity and pattern scores to be no lower than `0.01` and no higher than `100`.

Copyright 2013-2026 Open Text
Version 26.3 | Last updated July 2026

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Product: Knowledge Discovery Named Entity Recognition 26.3

Topic Title: <headword>