Papers › Representation Learning for Text-level Discourse Parsing
Representation Learning for Text-level Discourse Parsing
Yangfeng Ji, Jacob Eisenstein
Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Discourse Parsing | RST-DT | Discourse Parsing from Linear Projection | RST-Parseval (Full) | 57.6* | #38 of 40 | Archive leaderboard | report |
| Discourse Parsing | RST-DT | Discourse Parsing from Linear Projection | RST-Parseval (Nuclearity) | 68.2* | #38 of 40 | Archive leaderboard | report |
| Discourse Parsing | RST-DT | Discourse Parsing from Linear Projection | RST-Parseval (Relation) | 57.8* | #38 of 40 | Archive leaderboard | report |
| Discourse Parsing | RST-DT | Discourse Parsing from Linear Projection | RST-Parseval (Span) | 82.0* | #38 of 40 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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