In this paper, we show that a deeper semantic knowledge representation -including the Abstract Meaning Representation (AMR) (Banarescu et al., 2013) -can capture contextual properties that are discriminative enough to disambiguate entity mentions that current state-of-the-art systems cannot handle, without the need for EL training data.
for a given entity mention, using AMR provides a rich context representation, facilitating the selection of an optimal set of collaborator entity mentions, i.e., those co-occurring mentions most useful for disambiguation.