Inspired by the recent works on word embedding (Bengio et al., 2003;Mikolov et al., 2013a;Mikolov et al., 2013b), knowledge embedding (Bordes et al., 2011;Bordes et al., 2013;Socher et al., 2013;Wang et al., 2014b) and joint embedding KBs and texts (Wang et al., 2014a;Zhong and Zhang, 2015), we propose to learn representations for entity disambiguation.
from KBs and texts, we jointly embed entities and words into the same low-dimensional continuous vector space.