Sevgili et al 2020 - Neural Entity Linking: A Survey of Models Based on Deep Learning

Rao et al 2014 - Entity Linking: Finding Extracted Entities in a Knowledge Base Explains why it's good to use a ranking approach to training an entity linking system in section 5. “One natural approach to learning would be classification, in which each possible y ∈ Y is classified as being either correct or incorrect. However, such an approach enforces strong constraints: we not only require the correct KB entry to be classified positively, but all other answers to be classified negatively. Additionally, we can expect very unbalanced training, in which the vast majority of possible answers are incorrect… Instead, we select a single correct candidate for a query using a supervised machine learning ranker.”

Ji et al 2014 - Overview of TAC-KBP2014 Entity Discovery and Linking Tasks

Sil & Florian 2016 - One for All: Towards Language Independent Named Entity Linking

SIGIR 2013 Tutorial: Entity linking and retrieval

Information Extraction