Our code will be released to encourage future research.
the GloVe embeddings are employed in two ways to learn refined word embeddings: (i) directly updating each word embedding during training; and (ii) training a 300dimensional Multilayer Perceptron (MLP) layer with ReLU activation, with GloVe embeddings as input to the MLP and with output defining the refined word embeddings.