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SOTA
Text Simplification
Text Simplification On Newsela
Text Simplification On Newsela
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BLEU
SARI
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
BLEU
SARI
Paper Title
Repository
DRESS
23.21
27.37
Sentence Simplification with Deep Reinforcement Learning
Edit-Unsup-TS
17.36
30.44
Iterative Edit-Based Unsupervised Sentence Simplification
Pointer + Multi-task Entailment and Paraphrase Generation
11.14
33.22
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification
-
NSELSTM-B
26.31
27.42
Sentence Simplification with Memory-Augmented Neural Networks
-
S2S-Cluster-FA
19.55
30.73
Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification
Hybrid
14.46*
28.61*
-
-
NSELSTM-S
22.62
29.58
Sentence Simplification with Memory-Augmented Neural Networks
-
DRESS-LS
24.30
26.63
Sentence Simplification with Deep Reinforcement Learning
DMASS + DCSS
-
27.28
Integrating Transformer and Paraphrase Rules for Sentence Simplification
CRF Alignment + Transformer
-
36.6
Neural CRF Model for Sentence Alignment in Text Simplification
EditNTS
19.85
31.41
EditNTS: 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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