For the purpose of training the embedding f θ we compose it with a discriminative classifier g φ : R D → R Y with parameters φ predicting the author of an episode, where Y is the number of authors in the training set.
prior work in this area has primarily focused on classifying an author as a member of a closed and typically small set of authors (Stamatatos, 2009;Schwartz et al., 2013;Shrestha et al., 2017).