def METHOD_NAME(self):
    tsv_file_rel = pandas.read_csv(os.path.join(DATA_DIR, self.dataset_path, 'rel_embedding.tsv'), sep='\t',
                                   header=None)
    pretrained_rel_embedding = torch.FloatTensor(tsv_file_rel.values)
    self.rel_embedding = nn.Embedding.from_pretrained(pretrained_rel_embedding).requires_grad_(True)
    # self.rel_embedding.weight.data[:-1, :].div_(self.rel_embedding.weight.data[:-1, :].norm(p=1, dim=1, keepdim=True))
    return self.rel_embedding