Abstract
Human judgments of lexical similarity/relatedness are used as evaluation data for Vector Space Models, helping to judge how the distributional similarity captured by a given Vecotr Space Model correlates with human intuitions. A well establishde data set for the evaluation of lexical similarity/relatedness id WordSim353, alnog with its translations into sefveral other languages.
Thiospaper presents its Czech translation and annotation, which is publicly available via the Lindat-Clarin repository.