AMORE-UPF at SemEval-2018 Task 4: BiLSTM with Entity Library
Table 1: Results obtained for the submitted AMORE-UPF model and a variant of it that does not use an entity library (NoEntLib). Best results are in boldface. Differences with respect to the 2nd row marked by ‘**’ are significant at the 0.001 probability level (see text).
['Models', 'all entities F1', 'all entities Acc', 'main entities F1', 'main entities Acc']
While both models perform on a par on main entities, AMORE-UPF outperforms NoEntLib by a substantial margin when all characters are to be predicted (+15 points in F1-score, +3 This shows that the use of an entity library can be beneficial for the linking of rarely mentioned characters.