Text Simplification On Newsela
المقاييس
BLEU
SARI
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
| اسم النموذج | BLEU | SARI |
|---|---|---|
| sentence-simplification-with-deep | 23.21 | 27.37 |
| iterative-edit-based-unsupervised-sentence | 17.36 | 30.44 |
| dynamic-multi-level-multi-task-learning-for | 11.14 | 33.22 |
| sentence-simplification-with-memory-augmented | 26.31 | 27.42 |
| complexity-weighted-loss-and-diverse | 19.55 | 30.73 |
| hybrid-simplification-using-deep-semantics | 14.46* | 28.61* |
| sentence-simplification-with-memory-augmented | 22.62 | 29.58 |
| sentence-simplification-with-deep | 24.30 | 26.63 |
| integrating-transformer-and-paraphrase-rules | - | 27.28 |
| neural-crf-model-for-sentence-alignment-in | - | 36.6 |
| editnts-an-neural-programmer-interpreter | 19.85 | 31.41 |
| learning-how-to-simplify-from-explicit | - | 29.53* |
| sentence-simplification-by-monolingual | 18.19* | 15.77* |