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 51–100 of 209 papers

TitleStatusHype
Fine-tuning CLIP Text Encoders with Two-step Paraphrasing—0
Neural Machine Translation for Malayalam Paraphrase Generation—0
Vector-Quantized Prompt Learning for Paraphrase Generation—0
A Quality-based Syntactic Template Retriever for Syntactically-controlled Paraphrase GenerationCode0
Contextual Data Augmentation for Task-Oriented Dialog Systems—0
Automatic and Human-AI Interactive Text Generation—0
Multilingual Lexical Simplification via Paraphrase GenerationCode0
Emotion and Sentiment Guided Paraphrasing—0
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-TranslationCode0
PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase GenerationCode0
Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing—0
ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model RobustnessCode0
Lost in Translationese? Reducing Translation Effect Using Abstract Meaning RepresentationCode0
Coherence and Diversity through Noise: Self-Supervised Paraphrase Generation via Structure-Aware Denoising—0
Syntactically Robust Training on Partially-Observed Data for Open Information ExtractionCode0
Language as a Latent Sequence: deep latent variable models for semi-supervised paraphrase generationCode0
Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations—0
Fine-Grained Emotional Paraphrasing along Emotion Gradients—0
Revision for Concision: A Constrained Paraphrase Generation Task—0
Metaphorical Paraphrase Generation: Feeding Metaphorical Language Models with Literal Texts—0
Improving Large-scale Paraphrase Acquisition and Generation—0
Continuous Decomposition of Granularity for Neural Paraphrase GenerationCode0
PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data AugmentationCode0
Learning Structural Information for Syntax-Controlled Paraphrase Generation—0
Unsupervised Paraphrasability Prediction for Compound Nominalizations—0
Learning to Selectively Learn for Weakly Supervised Paraphrase Generation with Model-based Reinforcement Learning—0
'John ate 5 apples' != 'John ate some apples': Self-Supervised Paraphrase Quality Detection for Algebraic Word ProblemsCode0
CoSe-Co: Text Conditioned Generative CommonSense Contextualizer—0
Investigating the use of Paraphrase Generation for Question Reformulation in the FRANK QA system—0
Understanding Metrics for Paraphrasing—0
Principled Paraphrase Generation with Parallel CorporaCode0
Data Augmentation with Paraphrase Generation and Entity Extraction for Multimodal Dialogue System—0
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity?—0
Multi-task Learning for Paraphrase Generation With Keyword and Part-of-Speech Reconstruction—0
Towards Better Characterization of ParaphrasesCode0
GCPG: A General Framework for Controllable Paraphrase Generation—0
Quick Starting Dialog Systems with Paraphrase Generation—0
Entailment Relation Aware Paraphrase Generation—0
IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages—0
Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning—0
Visual Information Guided Zero-Shot Paraphrase GenerationCode0
TD-ConE: An Information-Theoretic Approach to Assessing Parallel Text Generation Data—0
Continual Learning for Seq2Seq Generations with Transformer Calibration—0
Sampling from Discrete Energy-Based Models with Quality/Efficiency Trade-offs—0
SHCT: A Successively Hierarchical Conditional Transformer for Controllable Paraphrase Generation—0
Improving Paraphrase Generation models with machine translation generated pre-training—0
Power Norm Based Lifelong Learning for Paraphrase Generations—0
Are We Evaluating Paraphrase Generation Accurately?—0
Exploring Metaphoric Paraphrase GenerationCode0
Syntactically-Informed Unsupervised Paraphrasing with Non-Parallel DataCode0
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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