SOTAVerified

Paraphrase Generation

Paraphrase Generation involves transforming a natural language sentence to a new sentence, that has the same semantic meaning but a different syntactic or lexical surface form.

Papers

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Showing 41–50 of 209 papers

TitleStatusHype
How Large Language Models are Transforming Machine-Paraphrased PlagiarismCode1
Improving Large-scale Paraphrase Acquisition and Generation—0
Continuous Decomposition of Granularity for Neural Paraphrase GenerationCode0
PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data AugmentationCode0
Learning to Selectively Learn for Weakly Supervised Paraphrase Generation with Model-based Reinforcement Learning—0
Unsupervised Paraphrasability Prediction for Compound Nominalizations—0
Learning Structural Information for Syntax-Controlled Paraphrase Generation—0
'John ate 5 apples' != 'John ate some apples': Self-Supervised Paraphrase Quality Detection for Algebraic Word ProblemsCode0
CoSe-Co: Text Conditioned Generative CommonSense Contextualizer—0
Investigating the use of Paraphrase Generation for Question Reformulation in the FRANK QA system—0
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All datasetsParalexQuora Question PairsMSCOCO

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HRQ-VAEiBLEU24.93—Unverified
2SeparatoriBLEU14.84—Unverified
#ModelMetricClaimedVerifiedStatus
1HRQ-VAEiBLEU18.42—Unverified
2SeparatoriBLEU5.84—Unverified
#ModelMetricClaimedVerifiedStatus
1HRQ-VAEBLEU27.9—Unverified