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 176–200 of 209 papers

TitleStatusHype
Learning Semantic Sentence Embeddings using Sequential Pair-wise DiscriminatorCode0
Revisiting Paraphrase Question Generator using Pairwise DiscriminatorCode0
Exploring Metaphoric Paraphrase GenerationCode0
Action Controlled ParaphrasingCode0
Ask me in your own words: paraphrasing for multitask question answeringCode0
Lost in Translationese? Reducing Translation Effect Using Abstract Meaning RepresentationCode0
Syntactically-Informed Unsupervised Paraphrasing with Non-Parallel DataCode0
Syntactically Robust Training on Partially-Observed Data for Open Information ExtractionCode0
Enhancing Paraphrase Type Generation: The Impact of DPO and RLHF Evaluated with Human-Ranked DataCode0
Improved Paraphrase Generation via Controllable Latent DiffusionCode0
An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase GenerationCode0
Multilingual Lexical Simplification via Paraphrase GenerationCode0
Discriminating between Lexico-Semantic Relations with the Specialization Tensor ModelCode0
Language as a Latent Sequence: deep latent variable models for semi-supervised paraphrase generationCode0
PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data AugmentationCode0
Exemplar-Controllable Paraphrasing and Translation using BitextCode0
PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase GenerationCode0
Towards Better Characterization of ParaphrasesCode0
A Large-Scale Benchmark for Vietnamese Sentence ParaphrasesCode0
Towards Better Characterization of ParaphrasesCode0
A Quality-based Syntactic Template Retriever for Syntactically-controlled Paraphrase GenerationCode0
Principled Paraphrase Generation with Parallel CorporaCode0
Improving the Diversity of Unsupervised Paraphrasing with Embedding OutputsCode0
Improving Non-autoregressive Generation with Mixup TrainingCode0
Generating Sentences from Disentangled Syntactic and Semantic SpacesCode0
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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