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 21–30 of 209 papers

TitleStatusHype
Automatic and Human-AI Interactive Text Generation—0
Multilingual Lexical Simplification via Paraphrase GenerationCode0
Explicit Syntactic Guidance for Neural Text GenerationCode1
Emotion and Sentiment Guided Paraphrasing—0
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-TranslationCode0
Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing—0
PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase GenerationCode0
ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model RobustnessCode0
CoEdIT: Text Editing by Task-Specific Instruction TuningCode1
TESS: Text-to-Text Self-Conditioned Simplex DiffusionCode1
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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