A Neural Network for Coordination Boundary Prediction
Table 4: Performance of the individual components on PTB section 22 (dev). Sym: Symmetry. Repp: POS replacement. Repw: Word replacement. Feats: features extracted from Berkeley parser. Joint: the complete model.
['[EMPTY]', 'All types P', 'All types R', 'All types F', 'NPs P', 'NPs R', 'NPs F']
Our model combines four signals: symmetry, word-level replacement, POS-level replacement and features from Berkeley parser. On their own, each of the components’ signals is relatively weak, seldom outperforming the parsers. However, they provide complementary information, as evident by the strong performance of the joint model.