We consider both words and entities, which makes the parallel data issue more challenging.
researchers leverage both types of resources to improve various natural language processing (NLP) related tasks, such as relation extraction (Weston et al., 2013;Lin et al., 2017), and entity linking (Tsai and Roth, 2016;Yamada et al., 2016;Ji et al., 2016).