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 61–70 of 209 papers

TitleStatusHype
Dictionary-Guided Editing Networks for Paraphrase Generation—0
Delexicalized Paraphrase Generation—0
Automatic and Human-AI Interactive Text Generation—0
Analyzing Persuasive Strategies in Meme Texts: A Fusion of Language Models with Paraphrase Enrichment—0
Controllable Paraphrase Generation with a Syntactic Exemplar—0
Decomposable Neural Paraphrase Generation—0
Data-Efficient Paraphrase Generation to Bootstrap Intent Classification and Slot Labeling for New Features in Task-Oriented Dialog Systems—0
Automatically Ranked Russian Paraphrase Corpus for Text Generation—0
Data Augmentation with Paraphrase Generation and Entity Extraction for Multimodal Dialogue System—0
Crowdsourcing Language Generation Templates for Dialogue Systems—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