Papers › Deep multi-task learning with low level tasks supervised at lower layers
Deep multi-task learning with low level tasks supervised at lower layers
Anders S{\o}gaard, Yoav Goldberg
Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| CCG Supertagging | CCGbank | Low supervision | Accuracy | 93.26 | #7 of 8 | Archive leaderboard | report |
| Chunking | Penn Treebank | Low supervision | F1 score | 95.57 | #4 of 8 | 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.
Methods
Introduced by this paper: Hierarchical MTL
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