From a global perspective, the work we have presented in this article shows that in accordance with a more general trend, our neural model for extracting containment relations clearly outperforms classical approaches based on feature engineering.
it also shows that incorporating classical features in such a model is a way to improve it, even if all kinds of features do not contribute equally to such improvement.