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: ..
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References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
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