For the baseline, SVM without embedding (w/o Embed) achieved 91.99% accuracy, which is already very competitive.
the models with word embedding trained on 6 billion tokens (6B-50d) and 840 billion tokens (840B-300d) (Pennington et al., 2014) achieved 92.89% and 93.00%, respectively.