Improving a Strong Neural Parser with Conjunction-Specific Features
Table 4: Test-set results for conj label only.
['[EMPTY]', 'Kiperwasser16', '20cmKiperwasser16 +']
We evaluate our model specifically for conj label, and compare to the results achieved by the parser without the conjunction features. We measure Rel (correctly identifying modifiers that participate in a conj relation, regardless of correctly attaching the parent) and Rel+Att (correctly identifying both the head and the modifier in a conj relation). The improvement in Rel score is relatively small while there is an improvement of 1.1 points in Rel+Att F1 score, suggesting that the parser was already effective at identifying the modifiers in a conj relation and that our model’s benefit is mainly on attaching the correct parent node.