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 121–130 of 209 papers

TitleStatusHype
Measuring Semantic Abstraction of Multilingual NMT with Paraphrase Recognition and Generation Tasks—0
Understanding Metrics for Paraphrasing—0
Understanding Task Design Trade-offs in Crowdsourced Paraphrase Collection—0
Unsupervised Contextual Paraphrase Generation using Lexical Control and Reinforcement Learning—0
Unsupervised Paraphrasability Prediction for Compound Nominalizations—0
Unsupervised Paraphrase Generation using Pre-trained Language Models—0
Unsupervised Paraphrasing with Pretrained Language Models—0
Unsupervised Paraphrasing by Simulated Annealing—0
Unsupervised Paraphrasing via Deep Reinforcement Learning—0
Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations—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