Papers › A Linear-Time Bottom-Up Discourse Parser with Constraints and Post-Editing
A Linear-Time Bottom-Up Discourse Parser with Constraints and Post-Editing
Vanessa Wei Feng, Graeme Hirst
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Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Discourse Parsing | RST-DT | Bottom-up Linear-chain CRF-based Parser | RST-Parseval (Nuclearity) | 71.0 | #33 of 40 | Archive leaderboard | report |
| Discourse Parsing | RST-DT | Bottom-up Linear-chain CRF-based Parser | RST-Parseval (Relation) | 58.2 | #33 of 40 | Archive leaderboard | report |
| Discourse Parsing | RST-DT | Bottom-up Linear-chain CRF-based Parser | RST-Parseval (Span) | 85.7 | #33 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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