More traditional approaches employ an off-line structure predictor (e.g., a parser) to define the computation graph (Tai et al., 2015;Chen et al., 2017), sometimes with some parameter sharing (Bowman et al., 2016).
these off-line methods are unable to jointly train the latent model and the downstream classifier via error gradient information.