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The extractor could use Natural Language Processing to find structual information and discovery metadata in the text part of a workspace, most importantly in the main document.
(original idea by @chriskray and @simonscheider - just cleaning up our internal ideas list!)
The extractor could use Natural Language Processing to find structual information and discovery metadata in the text part of a workspace, most importantly in the main document.
dkpro
: https://github.com/DARIAH-DE/DARIAH-DKPro-Wrapper and https://code.google.com/archive/p/dkpro-tutorials/Potential targetet content:
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