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 91–100 of 209 papers

TitleStatusHype
Discovering Latent Network Topology in Contextualized Representations with Randomized Dynamic Programming—0
An Empirical Study on Multi-Task Learning for Text Style Transfer and Paraphrase Generation—0
A Comparison of Two Paraphrase Models for Taxonomy Augmentation—0
Discourse Component to Sentence (DC2S): An Efficient Human-Aided Construction of Paraphrase and Sentence Similarity Dataset—0
Label Dependent Deep Variational Paraphrase Generation—0
Dictionary-Guided Editing Networks for Paraphrase Generation—0
Keep the Primary, Rewrite the Secondary: A Two-Stage Approach for Paraphrase Generation—0
Joint Learning of a Dual SMT System for Paraphrase Generation—0
Delexicalized Paraphrase Generation—0
Automatic and Human-AI Interactive Text Generation—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