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Vector representation of legal documents is still the best way for computing classification clusters and labelling of its contents. A very special problem occurs with self organising maps: strong clusters tend to dominate neighbouring smaller clusters in terms of their weight vector structure, which influences the labels extracted from these. This unwelcome side-effect can be overcome efficiently with a dedicated fine-tuning phase at the end of the training process, in which the neighbourhooddoi:10.1109/dexa.2001.953155 dblp:conf/dexaw/SchweighoferRD01 fatcat:6dvsmsvibjeljhuyaytlfu4emq