10.11588/data/QKF4LTRuppenhofer, JosefJosefRuppenhoferLeibniz Institute for the German LanguageAffixoid Dataset (DE)heiDATA2019Arts and HumanitiesComputer and Information Sciencemorphologyentiment analysiscompoundaffixoidGermansentimentaffixoid classificationRuppenhofer, JosefJosefRuppenhoferLeibniz Institute for the German Language20182019-07-312019-10-08textual data, CSV text file formathttps://www.aclweb.org/anthology/C18-132563075758text/tab-separated-valuestext/plain1.0The dataset contains the manual annotations for the COLING 2018 submission "Distinguishing affixoid formations from compounds" by Josef Ruppenhofer, Michael Wiegand, Rebecca Wilm and Katja Markert. 1788 complex words containing one of 7 German suffixoid candidates (e.g. -hai, -gott) were annotated manually as to whether the complex forms represent regular compounds or affixoid formations. The main experiments in the paper use automatically extracted features of the complex forms in trying to correctly make this distinction. Additionally, the words were labeled for five properties related to any intensifying and evaluative meaning potentially associated with the whole word and its components. These manual feature annotations were used to establish the upper-bound performance of a classifier trained to distinguish affixoid formations from regular compounds.Institute for German Language Mannheim, Heidelberg University