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
CoSe-Co: Text Conditioned Generative CommonSense Contextualizer—0
A Learning-Exploring Method to Generate Diverse Paraphrases with Multi-Objective Deep Reinforcement Learning—0
Discourse Component to Sentence (DC2S): An Efficient Human-Aided Construction of Paraphrase and Sentence Similarity Dataset—0
Gradient-guided Unsupervised Lexically Constrained Text Generation—0
Generative Pre-training for Paraphrase Generation by Representing and Predicting Spans in Exemplars—0
Polly Want a Cracker: Analyzing Performance of Parroting on Paraphrase Generation Datasets—0
Discovering Latent Network Topology in Contextualized Representations with Randomized Dynamic Programming—0
Learning Structural Information for Syntax-Controlled Paraphrase Generation—0
Leveraging Crowdsourcing for Paraphrase Recognition—0
Generating Syntactic Paraphrases—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