Prior distribution and local contexts, either in the form of hand-crafted features (Ratinov et al., 2011;Shen et al., 2015) or dense embeddings (He et al., 2013;Nguyen et al., 2016;Francis-Landau et al., 2016), play key roles in distinguishing different candidates.
in many cases, local features can be too sparse to provide sufficient information for disambiguation.