Neural Network Models for Implicit Discourse Relation Classification in English and Chinese without Surface Features
Table 4: Our best feedforward variant significantly outperforms the systems with surface features (p<0.05). ME=Maximum Entropy model
['Model', 'Acc.']
The feedforward variant of our model significantly outperforms the strong baselines in both English and Chinese (p<0.05 bootstrap test). This suggests that our approach is robust against different label sets, and our findings are valid across languages. Our Chinese model outperforms all of the feature sets known to work well in English despite using only word vectors.