We set the hyper-parameters by conducting cross validations on the labeled data.

We conduct 5-fold cross validations on Chinese labeled data.

Another reason is that we use 5-fold cross validations in this setting, while the previous setting is an open test setting.

Experiments We conducted 5-fold cross validation experiments using the seminar extraction dataset.

For comparison, we used 5-fold cross validation , where only a subset of each train fold that corresponds to 50% of the corpus was used for training.

We compare our approach to their work, having obtained and used the same 5-fold cross validation splits as both works.