Jaeseo Lim

Devil’s Advocate: Novel Boosting Ensemble Method from Psychological Findings for Text Classification

We present a new form of ensemble method–Devil’s Advocate, which uses a deliberately dissenting model to force other submodels within the ensemble to better collaborate. Our method consists of two different training settings: one follows the conventional training process (Norm), and the other is tra…