Our first model, DOUBENC, combines information derived from two encoders: one for the text passage being read, and one for the entity description.
we parse the HTML texts of the web pages and ex- 238,025 (97.1%) Table 2: Statistics for the augmented version of the Wikilinks dataset, where n represents the entity frequency in the corpus.