We experimented with different configurations of defining contexts and entity definitions, such as expanding the context windows by including sentences that come before and after the one where blank is found, as well as taking more than one sentence out of the entity description.
results on validation set show that increasing the context window size and the definition size had very little impact on accuracies, but drastically increased the training time of all models.