Instead of training the transferred model by ourselves, in this paper, we adopt the ELMo word representations , which are derived from a bidirectional language model (BiLM) trained on one billion word benchmark corpus (Chelba et al., 2014).
in fact, some traditional features, such as the POS tags or parse trees, naturally provide strong signals for identifying EDUs.