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 141–150 of 209 papers

TitleStatusHype
An Empirical Study on Multi-Task Learning for Text Style Transfer and Paraphrase Generation—0
An End-to-End Generative Architecture for Paraphrase Generation—0
A Paraphrase Generation System for EHR Question Answering—0
Are We Evaluating Paraphrase Generation Accurately?—0
A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation—0
A task in a suit and a tie: paraphrase generation with semantic augmentation—0
Automatically Ranked Russian Paraphrase Corpus for Text Generation—0
Automatic and Human-AI Interactive Text Generation—0
CogALex-V Shared Task: CGSRC - Classifying Semantic Relations using Convolutional Neural Networks—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