A Top-Down Neural Architecture towards Text-Level Parsing of Discourse Rhetorical Structure
Table 6: Performance over different EDU numbers.
['[EMPTY]', 'EDU Num', 'Bare', 'Nuc', 'Rel']
We finally divide the DTs into six groups by EDU number and evaluate the two approaches over different groups. We can find that, our top-down approach achieves better performance on the first, fifth and sixth sets (i.e., the EDU number is 1–5, 21-25 and 26-30 respectively). This suggests that the proposed top-down approach may be more suitable for both end of DTs with others comparable.