Improving sentence compression by learning to predict gaze
About
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.
Sigrid Klerke, Yoav Goldberg, Anders S{\o}gaard• 2016
Related benchmarks
| Task | Dataset | Result | Rank | |
|---|---|---|---|---|
| Sentence Compression | Google dataset ALL (test) | F1 Score85 | 13 | |
| Sentence Compression | Google dataset LONG (test) | F1 Score0.83 | 11 | |
| Sentence Compression | BNC Corpus (out-of-domain) | F1 Score0.546 | 11 | |
| Sentence Compression | Google (test) | Read Score3.9 | 5 |
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