Given the well-established usefulness of part-of-speech tag annotations in many syntactically oriented downstream NLP tasks, the recently proposed notion of semantic tagging (Bjerva et al., 2016) aims at tagging words with tags informed by semantic distinctions, which are likely to be useful across a range of semantic tasks.
the Universal Semantic Tag scheme explicitly considers a sizeable number of different categories of named entities, and in Table 4, we saw that the prediction quality for them (NAM) is fairly high.