Although other, more semantically rich features could be used, we limit our feature set to a few basic ones, in line with the setting adopted with the BiLSTM approach (Section 5.3), which relies only on word embeddings.
in the next subsection we present the results of several experiments carried out on the development set: we analyze the impact of the features and of the size of the context window on the performance of the classifiers.