Following <cite>Hayashi (2016)'s work</cite> on Evocation prediction, we frame word association prediction as a supervised regression task and introduce several new and modified features, including the first use of Gaussian embeddings (Vilnis and McCallum, 2014) to better capture the asymmetric nature of word associations.