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 151–200 of 209 papers

TitleStatusHype
ConRPG: Paraphrase Generation using Contexts as Regularizer—0
Construction of a Multilingual Corpus Annotated with Translation Relations—0
Contextual Data Augmentation for Task-Oriented Dialog Systems—0
Contextual LSTM (CLSTM) models for Large scale NLP tasks—0
Continual Learning for Seq2Seq Generations with Transformer Calibration—0
CoSe-Co: Text Conditioned Generative CommonSense Contextualizer—0
Creating and using large monolingual parallel corpora for sentential paraphrase generation—0
Crowdsourcing Language Generation Templates for Dialogue Systems—0
Data Augmentation with Paraphrase Generation and Entity Extraction for Multimodal Dialogue System—0
Data-Efficient Paraphrase Generation to Bootstrap Intent Classification and Slot Labeling for New Features in Task-Oriented Dialog Systems—0
Decomposable Neural Paraphrase Generation—0
Delexicalized Paraphrase Generation—0
Dictionary-Guided Editing Networks for Paraphrase Generation—0
Discourse Component to Sentence (DC2S): An Efficient Human-Aided Construction of Paraphrase and Sentence Similarity Dataset—0
Discovering Latent Network Topology in Contextualized Representations with Randomized Dynamic Programming—0
DivGAN: Towards Diverse Paraphrase Generation via Diversified Generative Adversarial Network—0
D-PAGE: Diverse Paraphrase Generation—0
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification—0
Edit Distance Based Curriculum Learning for Paraphrase Generation—0
Emotion and Sentiment Guided Paraphrasing—0
Entailment Relation Aware Paraphrase Generation—0
Exploring Diverse Expressions for Paraphrase Generation—0
Fine-Grained Emotional Paraphrasing along Emotion Gradients—0
Fine-tuning CLIP Text Encoders with Two-step Paraphrasing—0
GCPG: A General Framework for Controllable Paraphrase Generation—0
GCPG: A General Framework for Controllable Paraphrase Generation—0
Generating Paraphrases with Lean Vocabulary—0
Generating Syntactic Paraphrases—0
Generative Pre-training for Paraphrase Generation by Representing and Predicting Spans in Exemplars—0
Gradient-guided Unsupervised Lexically Constrained Text Generation—0
How to Ask Good Questions? Try to Leverage Paraphrases—0
How to make words with vectors: Phrase generation in distributional semantics—0
IIIT-H: A Corpus-Driven Co-occurrence Based Probabilistic Model for Noun Compound Paraphrasing—0
Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing—0
Improving Large-scale Paraphrase Acquisition and Generation—0
Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention—0
Improving Paraphrase Generation models with machine translation generated pre-training—0
IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages—0
Investigating the use of Paraphrase Generation for Question Reformulation in the FRANK QA system—0
Joint Learning of a Dual SMT System for Paraphrase Generation—0
Keep the Primary, Rewrite the Secondary: A Two-Stage Approach for Paraphrase Generation—0
Label Dependent Deep Variational Paraphrase Generation—0
Rethinking and Improving Natural Language Generation with Layer-Wise Multi-View Decoding—0
Learning Structural Information for Syntax-Controlled Paraphrase Generation—0
Learning to Adapt to Low-Resource Paraphrase Generation—0
Learning to Selectively Learn for Weakly-supervised Paraphrase Generation—0
Learning to Selectively Learn for Weakly Supervised Paraphrase Generation with Model-based Reinforcement Learning—0
Leveraging Crowdsourcing for Paraphrase Recognition—0
Metaphorical Paraphrase Generation: Feeding Metaphorical Language Models with Literal Texts—0
Metaphor: A Computational Perspective by Tony Veale, Ekaterina Shutova and Beata Beigman Klebanov—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