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Text Simplification
Text Simplification On Asset
Text Simplification On Asset
Metrics
BLEU
SARI (EASSEu003e=0.2.1)
Results
Performance results of various models on this benchmark
Columns
Model Name
BLEU
SARI (EASSEu003e=0.2.1)
Paper Title
Repository
ACCESS
75.99*
40.13
Controllable Sentence Simplification
BART
-
-
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
-
T5
-
-
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
-
PBMT-R
79.39*
34.63
-
-
Control Prefixes (BART)
-
43.58
Control Prefixes for Parameter-Efficient Text Generation
TST
-
43.21
Text Simplification by Tagging
Dress-LS
86.39*
36.59
Sentence Simplification with Deep Reinforcement Learning
GPT-175B (15 SARI-selected examples, random ordering)
73.92
47.94
Metric-Based In-context Learning: A Case Study in Text Simplification
UNTS (Unsupervised)
76.14*
35.19
Unsupervised Neural Text Simplification
MUSS (BART+ACCESS Unsupervised)
-
42.65
MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases
MUSS (BART+ACCESS Supervised)
72.98
44.15
MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases
DMASS-DCSS
71.44*
38.67
Integrating Transformer and Paraphrase Rules for Sentence Simplification
0 of 12 row(s) selected.
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