How to perform full end-to-end entity linking has always been a challenging problem in NLP. The typical approach for this is to use a model to detect entities and then employ another model to perform entity disambiguation. And this paper beautifully formulates these two steps into a single neural network model.
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[ 1.9 ms ] story [ 13.9 ms ] threadPaper https://arxiv.org/abs/2010.02413
Code https://github.com/facebookresearch/BLINK/tree/master/elq