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 121–130 of 209 papers

TitleStatusHype
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
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All datasetsParalexQuora Question PairsMSCOCO

Benchmark Results

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