Papers › Improving sentence compression by learning to predict gaze
Improving sentence compression by learning to predict gaze
Sigrid Klerke, Yoav Goldberg, Anders Søgaard
We show how eye-tracking corpora can be used to improve sentence compression models, presenting a novel multi-task learning algorithm based on multi-layer LSTMs. We obtain performance competitive with or better than state-of-the-art approaches.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Sentence Compression | Google Dataset | LSTMs + eye-movement | CR | - | #5 of 6 | Archive leaderboard | report |
| Sentence Compression | Google Dataset | LSTMs + eye-movement | F1 | 0.81 | #5 of 6 | Archive leaderboard | report |
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