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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 101–150 of 209 papers

TitleStatusHype
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
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
Unsupervised Text Generation by Learning from Search—0
Using character overlap to improve language transformation—0
Using Paraphrases and Lexical Semantics to Improve the Accuracy and the Robustness of Supervised Models in Situated Dialogue Systems—0
Vector-Quantized Prompt Learning for Paraphrase Generation—0
Controllable Paraphrase Generation with a Syntactic Exemplar—0
Rethinking and Improving Natural Language Generation with Layer-Wise Multi-View Decoding—0
Learning Structural Information for Syntax-Controlled Paraphrase Generation—0
Learning to Adapt to Low-Resource Paraphrase Generation—0
Learning to Selectively Learn for Weakly-supervised Paraphrase Generation—0
Learning to Selectively Learn for Weakly Supervised Paraphrase Generation with Model-based Reinforcement Learning—0
Leveraging Crowdsourcing for Paraphrase Recognition—0
Metaphorical Paraphrase Generation: Feeding Metaphorical Language Models with Literal Texts—0
Metaphor: A Computational Perspective by Tony Veale, Ekaterina Shutova and Beata Beigman Klebanov—0
Metaphoric Paraphrase Generation—0
Modelling Events through Memory-based, Open-IE Patterns for Abstractive Summarization—0
Multi-Attribute Linguistic Tuning for Controlled Paraphrase Generation—0
Multilingual Paraphrase Generation For Bootstrapping New Features in Task-Oriented Dialog Systems—0
Multi-task Learning for Paraphrase Generation With Keyword and Part-of-Speech Reconstruction—0
Negative Lexically Constrained Decoding for Paraphrase Generation—0
Neural Clinical Paraphrase Generation with Attention—0
Neural-Driven Multi-criteria Tree Search for Paraphrase Generation—0
Neural-Driven Search-Based Paraphrase Generation—0
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity?—0
Neural Machine Translation for Malayalam Paraphrase Generation—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