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 1120 of 209 papers

TitleStatusHype
AESOP: Paraphrase Generation with Adaptive Syntactic ControlCode1
Contrastive Representation Learning for Exemplar-Guided Paraphrase GenerationCode1
iNLTK: Natural Language Toolkit for Indic LanguagesCode1
kNN-BOX: A Unified Framework for Nearest Neighbor GenerationCode1
A large-scale computational study of content preservation measures for text style transfer and paraphrase generationCode1
Automatic Compilation of Resources for Academic Writing and Evaluating with Informal Word Identification and Paraphrasing SystemCode1
Explicit Syntactic Guidance for Neural Text GenerationCode1
Aspect Sentiment Quad Prediction as Paraphrase GenerationCode1
A Deep Generative Framework for Paraphrase GenerationCode1
Neural Paraphrase Generation with Stacked Residual LSTM NetworksCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HRQ-VAEiBLEU24.93Unverified
2SeparatoriBLEU14.84Unverified
#ModelMetricClaimedVerifiedStatus
1HRQ-VAEiBLEU18.42Unverified
2SeparatoriBLEU5.84Unverified
#ModelMetricClaimedVerifiedStatus
1HRQ-VAEBLEU27.9Unverified