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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 101–125 of 209 papers

TitleStatusHype
ReDecode Framework for Iterative Improvement in Paraphrase Generation—0
Revision for Concision: A Constrained Paraphrase Generation Task—0
Revisiting Pivot-Based Paraphrase Generation: Language Is Not the Only Optional Pivot—0
Robust Systems for Preposition Error Correction Using Wikipedia Revisions—0
Sampling from Discrete Energy-Based Models with Quality/Efficiency Trade-offs—0
Semantic Neighborhoods as Hypergraphs—0
SemEval-2024 Shared Task 6: SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes—0
Sentential Paraphrase Generation for Agglutinative Languages Using SVM with a String Kernel—0
SHCT: A Successively Hierarchical Conditional Transformer for Controllable Paraphrase Generation—0
Simulated annealing for optimization of graphs and sequences—0
SPMoE: Generate Multiple Pattern-Aware Outputs with Sparse Pattern Mixture of Experts—0
String Re-writing Kernel—0
Supervised Sentence Fusion with Single-Stage Inference—0
TD-ConE: An Information-Theoretic Approach to Assessing Parallel Text Generation Data—0
Thai Sentence Paraphrasing from the Lexical Resource—0
The CogALex-V Shared Task on the Corpus-Based Identification of Semantic Relations—0
The Multilingual Paraphrase Database—0
Don't Change Me! User-Controllable Selective Paraphrase Generation—0
Towards Diverse Paraphrase Generation Using Multi-Class Wasserstein GAN—0
Transformer and seq2seq model for Paraphrase Generation—0
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
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Benchmark Results

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