Addressing the Data Sparsity Issue in Neural AMR Parsing (Peng et al., EACL 2017)

Another paper looking at the issue of output symbol sparsity in AMR parsing, though here the solution is to group the consistent but rare symbols (rather than graph fragments like the paper last week). This drastically increases neural model performance, but does not reach the level of hybrid systems.