After key term translation, we use the knowledge graph to select concept candidates for each mention and obtain a concept candidate set S. To identify the exact concept the key term refers, our system uses the weighted sum of similarities including lexical similarity, local context similarity and category similarity to determine which concept is the right one.
we adopt Levenshtein distance 7 based algorithm to compute lexical similarity between mentions and concepts' titles.