As mentioned earlier, there has been a lot of useful, previous work on using word embeddings for NLP tasks such as similarity, tagging, NER, sentiment analysis, and parsing (Turian et al., 2010; Collobert et al., 2011; Dhillon et al., 2012; Huang et al., 2012; Al-Rfou' et al., 2013; Hisamoto et al., 2013; Andreas and Klein, 2014; <cite>Bansal et al., 2014;</cite> Guo et al., 2014; Pennington et al., 2014; Wang et al., 2015) , inter alia.