This repository is the implementation of "Top-down RST Parsing Utilizing Granularity Levels in Documents" published at AAAI 2020.
active 2023-09-25 → 2024-01-25 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 123 days from 2023-09-25 to 2024-01-25. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 3 total, peak 1 in a day. Stars: 1 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| tongtong429 | 2 | 0 | 0 | 2 |
| YTZ01 | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#1YTZ012024-01-25 04:25How to apply a trained RST parser to a raw document?
- Issue comment#2tongtong4292023-11-18 02:05the d2e model has higer score than d2s model. is it normal ?
- Issue comment#2tongtong4292023-10-27 15:43the d2e model has higer score than d2s model. is it normal ?
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.