Construction of the Literature Graph in Semantic Scholar
Table 4: The Bag of Concepts F1 score of the baseline and neural model on the two curated datasets.
['[EMPTY]', 'CS', 'Bio']
Candidate selection. In a preprocessing step, we build an index which maps any token used in a labeled mention or an entity name in the KB to associated entity IDs, along with the frequency this token is associated with that entity. This is similar to the index used in previous entity linking systems At train and test time, we use this index to find candidate entities for a given mention by looking up the tokens in the mention.