Table 1 shows the scaled Spearman correlation test scores, where (1) shows the original single embeddings, (2) results for standard metaembedding approaches that either apply a single mathematical operation or employ a linear projection as an encoding, (3) presents the results using autoencoder schemes by<cite> (Bao and Bollegala, 2018</cite> ) that we have used to test the various losses, (4) introduces TAE without concatenating the target Y embedding post-training with MSE loss and (5) shows the results of concatenating Y with the lower-dimensional (200-dimensions) vector that encodes all embeddings apart from the target vector.