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DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections
AbstractThis paper explores learning rich self-supervised entity representations from large amounts of associated text. Once pre-trained, these models become applicable to multiple entity-centric tasks such as ranked retrieval, knowledge base …...