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 131–140 of 209 papers

TitleStatusHype
Unsupervised Text Generation by Learning from Search—0
Using character overlap to improve language transformation—0
Using Paraphrases and Lexical Semantics to Improve the Accuracy and the Robustness of Supervised Models in Situated Dialogue Systems—0
Vector-Quantized Prompt Learning for Paraphrase Generation—0
Controllable Paraphrase Generation with a Syntactic Exemplar—0
Zero-Shot Paraphrase Generation with Multilingual Language Models—0
Polly Want a Cracker: Analyzing Performance of Parroting on Paraphrase Generation Datasets—0
A Comparison of Two Paraphrase Models for Taxonomy Augmentation—0
A Learning-Exploring Method to Generate Diverse Paraphrases with Multi-Objective Deep Reinforcement Learning—0
Analyzing Persuasive Strategies in Meme Texts: A Fusion of Language Models with Paraphrase Enrichment—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