WordSim353-cs: Evaluation Dataset for Lexical Similarity and Relatedness based on WordSim353

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 Vector Space Model correlates with human intuitions. A well established data set for the evaluation of lexical similarity/relatedness is WordSim353, along with its translations into several other languages.

This paper presents its Czech translation and annotation, which is publicly available via the LINDAT-CLARIN repository at hdl.handle.net/11234/1-1713.

Keywords

• wordsim353
• evaluation
• dataset
• lexical
• similarity
• relatedness
• based
• wordsim353