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

Showing 101–150 of 209 papers

TitleStatusHype
Edit Distance Based Curriculum Learning for Paraphrase Generation—0
Neural semi-Markov CRF for Monolingual Word AlignmentCode1
Factorising Meaning and Form for Intent-Preserving ParaphrasingCode1
Neural-Driven Search-Based Paraphrase Generation—0
Unsupervised Contextual Paraphrase Generation using Lexical Control and Reinforcement Learning—0
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel PairsCode1
ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase GenerationCode1
Delexicalized 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
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
Latent Template Induction with Gumbel-CRFsCode1
Generative Pre-training for Paraphrase Generation by Representing and Predicting Spans in Exemplars—0
Sound Natural: Content Rephrasing in Dialog SystemsCode0
Paraphrase Generation via Adversarial Penalizations—0
DivGAN: Towards Diverse Paraphrase Generation via Diversified Generative Adversarial Network—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
Reformulating Unsupervised Style Transfer as Paraphrase GenerationCode1
Exemplar-Controllable Paraphrasing and Translation using BitextCode0
iNLTK: Natural Language Toolkit for Indic LanguagesCode1
Don't Change Me! User-Controllable Selective Paraphrase Generation—0
Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic DiversityCode1
Unsupervised Text Generation by Learning from Search—0
Unsupervised Paraphrasing via Deep Reinforcement Learning—0
Simultaneous Translation and Paraphrase for Language EducationCode1
Paraphrase Generation by Learning How to Edit from Samples—0
How to Ask Good Questions? Try to Leverage Paraphrases—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
Syntax-guided Controlled Generation of ParaphrasesCode1
Rethinking and Improving Natural Language Generation with Layer-Wise Multi-View Decoding—0
Quda: Natural Language Queries for Visual Data Analytics—0
Neural Syntactic Preordering for Controlled Paraphrase GenerationCode1
Discourse Component to Sentence (DC2S): An Efficient Human-Aided Construction of Paraphrase and Sentence Similarity Dataset—0
Paraphrase Generation and Evaluation on Colloquial-Style Sentences—0
Automatic Compilation of Resources for Academic Writing and Evaluating with Informal Word Identification and Paraphrasing SystemCode1
Metaphoric Paraphrase Generation—0
Paraphrase Generation with Latent Bag of WordsCode1
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
Exploring Diverse Expressions for Paraphrase Generation—0
An End-to-End Generative Architecture for Paraphrase Generation—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