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The RELFIN-Annotator takes a set of topics and a clustering produced by the RELFIN-Learner through the RELFIN internal API and uses them to assign XML labels to a set of documents. The documents must have been NLP-pre-processed and adhering to the ParDoc format.

The RELFIN-Annotator is implemented as component module, appropriate for use in the pipelines of the Parmenides Resource Manager.

This is not a standalone module: It requires the RELFIN-Learner, which discovers the topics and delivers the clusters.

Reported by

ITI/FIN, Otto-von-Guericke-Universität Magdeburg
PO Box 4120,
D-39016 Magdeburg
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