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

Showing 191200 of 209 papers

TitleStatusHype
Keep the Primary, Rewrite the Secondary: A Two-Stage Approach for Paraphrase Generation0
Label Dependent Deep Variational Paraphrase Generation0
Rethinking and Improving Natural Language Generation with Layer-Wise Multi-View Decoding0
Learning Structural Information for Syntax-Controlled Paraphrase Generation0
Learning to Adapt to Low-Resource Paraphrase Generation0
Learning to Selectively Learn for Weakly-supervised Paraphrase Generation0
Learning to Selectively Learn for Weakly Supervised Paraphrase Generation with Model-based Reinforcement Learning0
Leveraging Crowdsourcing for Paraphrase Recognition0
Metaphorical Paraphrase Generation: Feeding Metaphorical Language Models with Literal Texts0
Metaphor: A Computational Perspective by Tony Veale, Ekaterina Shutova and Beata Beigman Klebanov0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HRQ-VAEiBLEU24.93Unverified
2SeparatoriBLEU14.84Unverified
#ModelMetricClaimedVerifiedStatus
1HRQ-VAEiBLEU18.42Unverified
2SeparatoriBLEU5.84Unverified
#ModelMetricClaimedVerifiedStatus
1HRQ-VAEBLEU27.9Unverified