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 101–150 of 209 papers

TitleStatusHype
Revisiting Pivot-Based Paraphrase Generation: Language Is Not the Only Optional Pivot—0
Multilingual Paraphrase Generation For Bootstrapping New Features in Task-Oriented Dialog Systems—0
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
Simulated annealing for optimization of graphs and sequences—0
Discovering Latent Network Topology in Contextualized Representations with Randomized Dynamic Programming—0
Learning to Selectively Learn for Weakly-supervised Paraphrase Generation—0
Towards Better Characterization of ParaphrasesCode0
Paraphrase Generation as Unsupervised Machine Translation—0
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
Edit Distance Based Curriculum Learning for Paraphrase Generation—0
Neural-Driven Search-Based Paraphrase Generation—0
Unsupervised Contextual Paraphrase Generation using Lexical Control and Reinforcement Learning—0
Delexicalized Paraphrase Generation—0
A Learning-Exploring Method to Generate Diverse Paraphrases with Multi-Objective Deep Reinforcement Learning—0
A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation—0
Data-Efficient Paraphrase Generation to Bootstrap Intent Classification and Slot Labeling for New Features in Task-Oriented Dialog Systems—0
An Empirical Study on Multi-Task Learning for Text Style Transfer and Paraphrase Generation—0
Generative Pre-training for Paraphrase Generation by Representing and Predicting Spans in Exemplars—0
Sound Natural: Content Rephrasing in Dialog SystemsCode0
DivGAN: Towards Diverse Paraphrase Generation via Diversified Generative Adversarial Network—0
Paraphrase Generation via Adversarial Penalizations—0
Gradient-guided Unsupervised Lexically Constrained Text Generation—0
Unsupervised Paraphrasing with Pretrained Language Models—0
Neural-Driven Multi-criteria Tree Search for Paraphrase Generation—0
Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention—0
Exemplar-Controllable Paraphrasing and Translation using BitextCode0
Don't Change Me! User-Controllable Selective Paraphrase Generation—0
Unsupervised Text Generation by Learning from Search—0
Unsupervised Paraphrasing via Deep Reinforcement Learning—0
How to Ask Good Questions? Try to Leverage Paraphrases—0
Paraphrase Generation by Learning How to Edit from Samples—0
Neural Machine Translation For Paraphrase Generation—0
Automatically Ranked Russian Paraphrase Corpus for Text Generation—0
Unsupervised Paraphrase Generation using Pre-trained Language Models—0
Rethinking and Improving Natural Language Generation with Layer-Wise Multi-View Decoding—0
Quda: Natural Language Queries for Visual Data Analytics—0
Paraphrase Generation and Evaluation on Colloquial-Style Sentences—0
Discourse Component to Sentence (DC2S): An Efficient Human-Aided Construction of Paraphrase and Sentence Similarity Dataset—0
Metaphoric Paraphrase Generation—0
Revisiting Paraphrase Question Generator using Pairwise DiscriminatorCode0
Label Dependent Deep Variational Paraphrase Generation—0
Non-autoregressive Transformer by Position Learning—0
Zero-Shot Paraphrase Generation with Multilingual Language Models—0
Transformer and seq2seq model for 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