Linguistic Semantic Relation Recognition Structure
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A Linguistic Semantic Relation Recognition Structure is a relation recognition structure that applies to linguistic expressions.
- AKA: Relation Mention Extraction Pattern.
- Context:
- It can be used by a Relation Mention Recognition System (to solve a relation mention recognition task).
- It can be created by a Relation Mention Recognition Model Creation System.
- It can (often) be a Textual Relation Mention Recognition Structure (for text).
- …
- Example(s):
- The Textual Relation Recognition Pattern, such as:
[<NAMED ENTITY>-based <NAMED ENTITY>]
can find Organization_Headquarter_Location() relation mentions; but can also misclassify sentences such as "Florida Orange-based Heinz Marmalade".[<Class Noun>(plural) such as <Noun>, and <Noun>]
can find Is_A() relations. (Hearst, 1992).
- a Dependency Relation Recognition Classifier.
- a Text Graph Relation Recognition Classifier.
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- The Textual Relation Recognition Pattern, such as:
- Counter-Example(s):
- See: Snowball IE Algorithm, Wrapper Pattern.