Keyphrase Extraction via an Attentive Model.

Keyphrase extraction is a task of crucial importance for digital libraries. When performing automatically a task of this, the context in which a specific word is located seems to hold a substantial role. To exploit this context, in this paper we propose an architecture based on an Attentive Model: a neural network designed to focus on the most relevant parts of data. A preliminary experimental evaluation on the widely used INSPEC dataset confirms the validity of the approach and shows our approach achieves higher performance than the state of the art.