In OTyper (Yuan and Downey, 2018), each type is represented by averaging the embedding of the words constitutes the type label.
protoLE (Ma et al., 2016) represents each type by a prototype that consists of manually selected entity mentions, where the type embedding is obtained by averaging the prototype mentions' word embeddings.In contrast, our work differs from OTyper and protoLE by constructing the type representations based on the Wikipedia descriptions of the types, which not only carry more information about the type but also can be easily adapted to other tasks such as event typing and text classification.