To illustrate the effectiveness of this idea, we parameterize p κ (w|q) with a general-purpose neural labeling model, which consists of a word embedding layer, two layers of BiGRU, and a linearchain conditional random field (CRF).
lately, several large-scale generalpurpose KBs have been constructed, including YAGO (Suchanek et al., 2007), Freebase (Bollacker et al., 2008), NEll (Carlson et al., 2010), and DBpedia (lehmann et al., 2014).