Entity Linking (EL), such as the EL track at NIST Text Analysis Conference Knowledge Base Population (TAC-KBP), aims to link a given named entity mention from a source document to an existing Knowledge Base (KB) (Ji et al., 2014).
every vertex (m, c) has an initial similarity score iSim(m, c) between m and c. We split m and c into sets of tokens T m and T c and recognize two cases: 1) if T m and T c have any tokens in common then their similarity is 1.0; 2) otherwise it is a reciprocal of the edit distance between m and c: the pairwise initial similarity for "Buenos Aires" vs "Buenos Aires Wildlife Refugee" and for "Buenos Aires" vs "University of Buenos Aires" equals to 1.0.