Papers with sentence learner
Semi-Supervised Semantic Role Labeling with Cross-View Training (D19-1)
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| Challenge: | Recent approaches rely on expensive annotations and are unavailable in low resource scenarios (e.g., rare languages or domains). |
| Approach: | They propose an end-to-end SRL model which leverages unlabeled data and propose to reduce the annotation effort involved via semi-supervised learning. |
| Outcome: | The proposed model outperforms the state-of-the-art in English and consistently improves performance in other languages, including Chinese, German, and Spanish. |