Machine Learning in GATE. Valentin Tablan. Machine Learning in GATE. Uses classification . [Attr 1 , Attr 2 , Attr 3 , … Attr n ] Class Classifies annotations . (Documents can be classified as well using a simple trick.) Annotations of a particular type are selected as instances.
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[Attr1, Attr2, Attr3, … Attrn] Class
(Documents can be classified as well using a simple trick.)
Attributes can be:
The [lack of] presence of an annotation of a particular type [partially] overlapping the referred instance annotation.
The value of a particular feature of the referred instance annotation. The complete set of acceptable values must be specified a-priori.
The numeric value (converted from String) of a particular feature of the referred instance annotation.
Machine Learning PR in GATE.
Has two functioning modes:
Uses an XML file for configuration:
Instances type: Token
Saves the actual model and the collected dataset.
Learn POS category from POS context.
The MLEngine Interface