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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2403.17640 |
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| _version_ | 1866910384354492416 |
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| author | Huang, Yichen Kochmar, Ekaterina |
| author_facet | Huang, Yichen Kochmar, Ekaterina |
| contents | Text simplification lacks a universal standard of quality, and annotated reference simplifications are scarce and costly. We propose to alleviate such limitations by introducing REFeREE, a reference-free model-based metric with a 3-stage curriculum. REFeREE leverages an arbitrarily scalable pretraining stage and can be applied to any quality standard as long as a small number of human annotations are available. Our experiments show that our metric outperforms existing reference-based metrics in predicting overall ratings and reaches competitive and consistent performance in predicting specific ratings while requiring no reference simplifications at inference time. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_17640 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | REFeREE: A REference-FREE Model-Based Metric for Text Simplification Huang, Yichen Kochmar, Ekaterina Computation and Language Text simplification lacks a universal standard of quality, and annotated reference simplifications are scarce and costly. We propose to alleviate such limitations by introducing REFeREE, a reference-free model-based metric with a 3-stage curriculum. REFeREE leverages an arbitrarily scalable pretraining stage and can be applied to any quality standard as long as a small number of human annotations are available. Our experiments show that our metric outperforms existing reference-based metrics in predicting overall ratings and reaches competitive and consistent performance in predicting specific ratings while requiring no reference simplifications at inference time. |
| title | REFeREE: A REference-FREE Model-Based Metric for Text Simplification |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2403.17640 |