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Sigrid Klerke; Yoav Goldberg; Anders Søgaard
Abstract
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.
Benchmarks
| Benchmark | Methodology | Metrics |
|---|---|---|
| sentence-compression-on-google-dataset | LSTMs + eye-movement | CR: - F1: 0.81 |
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