no code implementations • 10 May 2018 • Paolo Cifariello, Paolo Ferragina, Marco Ponza
Every node is also labeled with a relevance score which models the pertinence of the corresponding entity to author's expertise, and is computed by means of a proper random-walk calculation over that graph; and with a latent vector representation which is learned via entity and other kinds of structural embeddings derived from Wikipedia.