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Text Simplification On Newsela

Métriques

BLEU
SARI

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
BLEU
SARI
Paper TitleRepository
DRESS23.2127.37Sentence Simplification with Deep Reinforcement Learning
Edit-Unsup-TS17.3630.44Iterative Edit-Based Unsupervised Sentence Simplification
Pointer + Multi-task Entailment and Paraphrase Generation11.1433.22Dynamic Multi-Level Multi-Task Learning for Sentence Simplification-
NSELSTM-B 26.3127.42Sentence Simplification with Memory-Augmented Neural Networks-
S2S-Cluster-FA19.5530.73Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification
Hybrid 14.46*28.61*--
NSELSTM-S 22.6229.58Sentence Simplification with Memory-Augmented Neural Networks-
DRESS-LS24.3026.63Sentence Simplification with Deep Reinforcement Learning
DMASS + DCSS-27.28Integrating Transformer and Paraphrase Rules for Sentence Simplification
CRF Alignment + Transformer-36.6Neural CRF Model for Sentence Alignment in Text Simplification
EditNTS19.8531.41EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
SeqLabel -29.53*Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs
PBMT-R 18.19*15.77*--
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