The main goal of NCEL is to find a solution for collective entity linking using an end-to-end neural model, rather than to improve the measurements of local textual similarity or global mention/entity relatedness.
we use joint embeddings of words and entities at sense level (Cao et al., 2017) to represent mentions and its contexts for feature extraction.