To learn embeddings for verbs and arguments, we extract representations for sentences containing only the word itself.
at the recent VU amsterdam (VUa) metaphor identification shared task (Leong et al., 2018), neural approaches dominated, with most teams using LSTMs trained on word embeddings and additional linguistic features, such as semantic classes and part of speech tags (Wu et al., 2018;Stemle and Onysko, 2018;Mykowiecka et al., 2018;Swarnkar and Singh, 2018).