In<cite> [4]</cite> , tv-embedding training was done using unlabeled data as an additional resource; therefore, the proposed models were semi-supervised models. In the experiments reported below, due to the lack of standard unlabeled data for the tested datasets, we trained tv-embeddings on the labeled training data ignoring the labels; thus, the resulting models are supervised ones.