Attentive Tensor Product Learning
Table 3: Performance of Constituency Parser.
['[EMPTY]', ' WSJ 22', ' WSJ 23', 'Our parser WSJ 22', 'Our parser WSJ 23', 'Our parser with ground-truth  [BOLD] z [ITALIC] k, [ITALIC] t ( [ITALIC] k≥2) WSJ 22', 'Our parser with ground-truth  [BOLD] z [ITALIC] k, [ITALIC] t ( [ITALIC] k≥2) WSJ 23']
In addition, we also evaluate our approach assuming the tree-structure encoding zk,t is known. In doing so, we can evaluate the performance of our classification module of the parser. Note, the POS tag is not provided.