To measure the extent to which the inferred dimension reflects the semantic concept of interest, we consider how well-placed a number of prespecified hold-out word types (not a part of V ± ) are in this particular dimension.
accuracy is computed as the fraction of hold-out words that are placed on the correct side of 0 on the dimension of interest in the embedding and context vectors.