A PDTB-Styled End-to-End Discourse Parser
Table 1: Results for the connective classifier.
['[EMPTY]', 'P&N Acc.', 'P&N  [ITALIC] F1', '+new Acc.', '+new  [ITALIC] F1']
02–21 and tested on Sec. 23. The second and third columns show the accuracy and F1 using the features of P&N, whereas the last two columns show the results when we add in the lexico-syntactic and path features (+new). Introducing the new features significantly (all with p<0.001) increases the accuracy and F1 by 2.04% and 3.01% under the GS setting, and 1.81% and 2.62% under the Auto setting. This confirms the usefulness of integrating the contextual and syntactic information. As the connective classifier is the first component in the pipeline, its high performance is crucial to mitigate the effect of cascaded errors downstream.