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 51–75 of 209 papers

TitleStatusHype
Syntactically-Informed Unsupervised Paraphrasing with Non-Parallel DataCode0
Visual Information Guided Zero-Shot Paraphrase GenerationCode0
Principled Paraphrase Generation with Parallel CorporaCode0
SLPL SHROOM at SemEval2024 Task 06: A comprehensive study on models ability to detect hallucinationCode0
An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase GenerationCode0
Enhancing Paraphrase Type Generation: The Impact of DPO and RLHF Evaluated with Human-Ranked DataCode0
Language as a Latent Sequence: deep latent variable models for semi-supervised paraphrase generationCode0
PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase GenerationCode0
PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data AugmentationCode0
Exploring Metaphoric Paraphrase GenerationCode0
Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase GenerationCode0
Action Controlled ParaphrasingCode0
Exemplar-Controllable Paraphrasing and Translation using BitextCode0
Ask me in your own words: paraphrasing for multitask question answeringCode0
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-TranslationCode0
Continuous Decomposition of Granularity for Neural Paraphrase GenerationCode0
Learning Semantic Sentence Embeddings using Sequential Pair-wise DiscriminatorCode0
Generating Sentences from Disentangled Syntactic and Semantic SpacesCode0
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language ModelsCode0
Learning Semantic Sentence Embeddings using Sequential Pair-wise DiscriminatorCode0
'John ate 5 apples' != 'John ate some apples': Self-Supervised Paraphrase Quality Detection for Algebraic Word ProblemsCode0
Improving Non-autoregressive Generation with Mixup TrainingCode0
Improving the Diversity of Unsupervised Paraphrasing with Embedding OutputsCode0
Multilingual Lexical Simplification via Paraphrase GenerationCode0
Construction of a Multilingual Corpus Annotated with Translation Relations—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