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Text Simplification On Turkcorpus

Metrics

BLEU
FKGL
SARI (EASSEu003e=0.2.1)

Results

Performance results of various models on this benchmark

Paper Title
GPT-175B (6 SARI-selected examples, high/low)79.839.3343.46Metric-Based In-context Learning: A Case Study in Text Simplification
MUSS (BART+ACCESS Supervised)78.177.6042.53MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases
Control Prefixes (BART)-7.7442.32Control Prefixes for Parameter-Efficient Text Generation
TST--41.46Text Simplification by Tagging
ACCESS72.53-41.38Controllable Sentence Simplification
MUSS (BART+ACCESS Unsupervised)-8.7940.85MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases
DMASS-DCSS--40.45Integrating Transformer and Paraphrase Rules for Sentence Simplification
SBMT-SARI73.08*-39.56Optimizing Statistical Machine Translation for Text Simplification
EditNTS86.69-38.22EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
PBMT-R--38.04-
Edit-Unsup-TS73.62-37.85Iterative Edit-Based Unsupervised Sentence Simplification
Pointer + Multi-task Entailment and Paraphrase Generation81.49-37.45Dynamic Multi-Level Multi-Task Learning for Sentence Simplification
Dress-LS80.12-37.27Sentence Simplification with Deep Reinforcement Learning
NTS-SARI80.69-37.25Exploring Neural Text Simplification Models
UNMT (Unsupervised)74.02-37.20Unsupervised Neural Text Simplification
UNTS-10k (Weakly supervised)--37.15Unsupervised Neural Text Simplification
Dress77.18-37.08Sentence Simplification with Deep Reinforcement Learning
SeqLabel--37.08*Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs
NSELSTM-S80.43-36.88Sentence Simplification with Memory-Augmented Neural Networks
SEMoses74.49-36.70Simple and Effective Text Simplification Using Semantic and Neural Methods
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Text Simplification On Turkcorpus | SOTA | HyperAI