10.11588/data/C2OQN4Rehbein, InesInesRehbeinLeibniz Institute for the German LanguageRuppenhofer, JosefJosefRuppenhoferLeibniz Institute for the German LanguageSteen, JuliusJuliusSteenDepartment of Computational Linguistics, Heidelberg University, GermanyMACE-ALA method for detecting errors in automatic annotations (POS, NER etc.)heiDATA2020Arts and HumanitiesComputer and Information ScienceAnnotation toolAnnotation noiseError detectionAutomatically annotated textAnnotation noiseError detection in automatic annotationsError detection for POS, NER etc.Rehbein, InesInesRehbeinLeibniz Institute for the German Language20172019-07-312020-03-26python codehttps://www.aclweb.org/anthology/P17-1107.pdf334604application/zip1.0A method for detecting noise in automatically annotated sequence-labelled data, combining MACE (Hovy et al. 2013) with Active Learning.Leibniz Institute for the German Language