Simplified VCG To test the effect of the end-toend context encoders of the VCG network, we define a model that instead uses a set of features commonly suggested in the literature for EL on noisy data.
we employ features that cover (1) frequency of the entity in Wikipedia, (2) edit distance between the label of the entity and the token n-gram, (3) number of entities and relations immediately connected to the entity in the KB, (4) word overlap between the input question and the labels of the connected entities and relations, (5) length of the n-gram.