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 31–40 of 209 papers

TitleStatusHype
A large-scale computational study of content preservation measures for text style transfer and paraphrase generationCode1
Explicit Syntactic Guidance for Neural Text GenerationCode1
Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in RussianCode1
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel PairsCode1
Contrastive Representation Learning for Exemplar-Guided Paraphrase GenerationCode1
iNLTK: Natural Language Toolkit for Indic LanguagesCode1
Construction of a Multilingual Corpus Annotated with Translation Relations—0
ConRPG: Paraphrase Generation using Contexts as Regularizer—0
A Comparison of Two Paraphrase Models for Taxonomy Augmentation—0
Coherence and Diversity through Noise: Self-Supervised Paraphrase Generation via Structure-Aware Denoising—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