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 71–80 of 209 papers

TitleStatusHype
Improving Non-autoregressive Generation with Mixup TrainingCode0
Improving the Diversity of Unsupervised Paraphrasing with Embedding OutputsCode0
Multilingual Lexical Simplification via Paraphrase GenerationCode0
SLPL SHROOM at SemEval2024 Task 06: A comprehensive study on models ability to detect hallucinationCode0
Construction of a Multilingual Corpus Annotated with Translation Relations—0
Exploring Diverse Expressions for Paraphrase Generation—0
ConRPG: Paraphrase Generation using Contexts as Regularizer—0
Entailment Relation Aware Paraphrase Generation—0
Coherence and Diversity through Noise: Self-Supervised Paraphrase Generation via Structure-Aware Denoising—0
CogALex-V Shared Task: CGSRC - Classifying Semantic Relations using Convolutional Neural Networks—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