Papers with predicate identification
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. |
PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems Evaluation (2023.findings-eacl)
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Ishan Jindal, Alexandre Rademaker, Khoi-Nguyen Tran, Huaiyu Zhu, Hiroshi Kanayama, Marina Danilevsky, Yunyao Li
| Challenge: | Existing evaluation scripts for semantic role labeling do not consider error propagation . existing evaluation script does not consider argument independent of predicate sense . |
| Approach: | They propose a more strict SRL evaluation metric PriMeSRL to address these issues . they propose to use a metric that measures the quality of the underlying SRL models . |
| Outcome: | The proposed metric reduces quality evaluation of all SoTA SRL models and penalizes failures. |