Mandatory when applicable
set of elements
| Element | Usage | Type |
|---|---|---|
| typesystem | Mandatory when applicable | resourceName & optional resourceIdentifier |
| annotationSchema | Mandatory when applicable | resourceName & optional resourceIdentifier |
| annotationResource | Mandatory when applicable | resourceName & optional resourceIdentifier |
| mlModel | Mandatory when applicable | resourceName & optional resourceIdentifier |
Specifies the dependencies (language resources) of the application/component; the recommended way is to specify the resourceName and (optionally) the resourceIdentifier of the relevant resource.
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typesystem: A set of elements designed to annotate data. It typically contains only a list of annotation types, i.e. specific labels that are used for the annotation (e.g. part-of-speech, person, organization, etc.), and is usually inbuilt in the annotation software.
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annotationSchema: A set of elements and values designed to annotate data. It usually consists in a formal representation. It aims to represent a specific level of information, such as morphological features of words, syntactic dependency relations between phrases, discourse level information etc. It can consist of a flat structure of elements and values (e.g. part-of-speech tags) or it can be more complex with interrelated elements (e.g. specific morphological features to be used for each part-of-speech)
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annotationResource: Any resource that can be used for annotating a document or corpus, e.g. an ontology, a lexicon, a list of named entities etc.
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mlModel: The model artifact that is created through a training process involving an ML algorithm (that is, the learning algorithm) and the training data to learn from.