Simlex-999: evaluating semantic models with (genuine) similarity estimation. SimLex-999 is a gold standard resource for the evaluation of models that learn the meaning of words and concepts. SimLex-999 provides a way of measuring how well models capture similarity, rather than relatedness or association. The scores in SimLex-999 therefore differ from other well-known evaluation datasets such as WordSim-353 (Finkelstein et al. 2002). The following two example pairs illustrate the difference - note that clothes are not similar to closets (different materials, function etc.), even though they are very much related: ..