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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 209 papers

TitleStatusHype
SHCT: A Successively Hierarchical Conditional Transformer for Controllable Paraphrase Generation—0
Multilingual Paraphrase Generation For Bootstrapping New Features in Task-Oriented Dialog Systems—0
AESOP: Paraphrase Generation with Adaptive Syntactic ControlCode1
Paraphrase Generation: A Survey of the State of the Art—0
Revisiting Pivot-Based Paraphrase Generation: Language Is Not the Only Optional Pivot—0
Syntactically-Informed Unsupervised Paraphrasing with Non-Parallel DataCode0
Exploring Metaphoric Paraphrase GenerationCode0
Ask me in your own words: paraphrasing for multitask question answeringCode0
Improving the Diversity of Unsupervised Paraphrasing with Embedding OutputsCode0
Improving Non-autoregressive Generation with Mixup TrainingCode0
GCPG: A General Framework for Controllable Paraphrase Generation—0
Aspect Sentiment Quad Prediction as Paraphrase GenerationCode1
Simulated annealing for optimization of graphs and sequences—0
Discovering Latent Network Topology in Contextualized Representations with Randomized Dynamic Programming—0
Language Invariant Properties in Natural Language ProcessingCode1
Learning to Selectively Learn for Weakly-supervised Paraphrase Generation—0
Towards Better Characterization of ParaphrasesCode0
Towards Document-Level Paraphrase Generation with Sentence Rewriting and ReorderingCode1
Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus ExplorationCode1
Paraphrase Generation as Unsupervised Machine Translation—0
Pushing Paraphrase Away from Original Sentence: A Multi-Round Paraphrase Generation ApproachCode1
Contrastive Representation Learning for Exemplar-Guided Paraphrase GenerationCode1
ConRPG: Paraphrase Generation using Contexts as Regularizer—0
SPMoE: Generate Multiple Pattern-Aware Outputs with Sparse Pattern Mixture of Experts—0
Keep the Primary, Rewrite the Secondary: A Two-Stage Approach for Paraphrase Generation—0
Show:102550
← PrevPage 4 of 9Next →
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