Hashing has recently emerged to be a popular solution to tackling fast NNS, and been successfully applied to a variety of non-NLP problems such as visual object detection (Dean et al., 2013) and recognition (Torralba et al., 2008a;Torralba et al., 2008b), large-scale image retrieval (Kulis and Grauman, 2012;Gong et al., 2013), and large-scale machine learning (Weiss et al., 2008;Liu et al., 2011;Liu, 2012).
hashing has received limited attention in the NLP field to the date.