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 51–60 of 209 papers

TitleStatusHype
Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in RussianCode1
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
A large-scale computational study of content preservation measures for text style transfer and paraphrase generationCode1
Towards Better Characterization of ParaphrasesCode0
GCPG: A General Framework for Controllable Paraphrase Generation—0
Multi-task Learning for Paraphrase Generation With Keyword and Part-of-Speech Reconstruction—0
Chinese Idiom ParaphrasingCode1
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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