Most comparisons involve neural systems which are based on BiLSTMs He et al., 2018b; or use neural networks for learning SLR-specific embeddings (FitzGerald et al., 2015;Roth and Lapata, 2016).
multi-task Hidden Features Drawing inspiration from ELmo (Peters et al., 2018), a recently proposed model for generating word representations based on bidirectional LSTms trained with a coupled language modeling objective, we extract various hidden features via multi-task learning.