Following Andrews et al. ( 2009 ) , we measure association norm prediction as an average of percentile ranks .
integrating experiential and distributional data to learn semantic representations
Mark Andrews Gabriella Vigliocco David Vinson
Since it is not sensible to evaluate association norm prediction when they are also used as training data , we omit this evaluation for this modality . Following Andrews et al. ( 2009 ) , we measure association norm prediction as an average of percentile ranks . For all possible pairs of words in our vocabulary , we compute the negative symmetric KL divergence between the two words .
Following @@CITATION , we measure association norm prediction as an average of percentile ranks .