Text Simplification On Pwkp Wikismall
Métriques
SARI
SARI (EASSEu003e=0.2.1)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | SARI | SARI (EASSEu003e=0.2.1) | Paper Title | Repository |
|---|---|---|---|---|
| TST | 44.67 | 44.67 | Text Simplification by Tagging | |
| DRESS | 27.48 | - | Sentence Simplification with Deep Reinforcement Learning | |
| Hybrid | 30.46* | - | - | - |
| NSELSTM-S | 29.75 | - | Sentence Simplification with Memory-Augmented Neural Networks | - |
| NSELSTM-B | 17.47 | - | Sentence Simplification with Memory-Augmented Neural Networks | - |
| SeqLabel | 30.50* | - | Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs | |
| PBMT-R | 15.97* | - | - | - |
| UNSUP | - | - | Unsupervised Sentence Simplification Using Deep Semantics | |
| EditNTS | 32.35 | - | EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing | |
| DRESS-LS | 27.24 | - | Sentence Simplification with Deep Reinforcement Learning | |
| Pointer + Multi-task Entailment and Paraphrase Generation | 29.58 | - | Dynamic Multi-Level Multi-Task Learning for Sentence Simplification | - |
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