Recently there has been a growing interest in developing natural language representations that can be transferred across tasks (Vendrov et al., 2016;Wieting et al., 2016;Conneau et al., 2017, inter alia).
sNLI (Bowman et al., 2015) and MultiNLI (Williams et al., 2017) encourage architectures that first encode the hypothesis and the premise independently before a comparator neu-1 nlp.cs.washington.edu/piqa ral network is applied.