Concepts and measures of bureaucratic constraints in European Union laws from hand-coding to machine-learning

The models “learn” the relations between the text tokens and the entity categories from two randomly selected samples of sentences that are extracted from a pre-processed corpus and have been manually annotated using the Python-implemented platform “Prodigy”.

coding concepts constraints european union laws learn legal machine paper platform prodigy python relations text tokens union