Zero-Shot Learning has been studied for a number of NLP tasks including event extraction (Huang et al., 2018;Lee and Jha, 2018;Srivastava et al., 2018), relation extraction (Liu et al., 2014), Conversational Language Understanding (Lee and Jha, 2018).
zero shot entity typing has also been explored, where most of the prior methods adopt the idea of learning a shared semantic space for representing the entities as well as the types, but differ in how they construct the type embeddings.