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 181–190 of 209 papers

TitleStatusHype
How to Ask Good Questions? Try to Leverage Paraphrases—0
How to make words with vectors: Phrase generation in distributional semantics—0
IIIT-H: A Corpus-Driven Co-occurrence Based Probabilistic Model for Noun Compound Paraphrasing—0
Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing—0
Improving Large-scale Paraphrase Acquisition and Generation—0
Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention—0
Improving Paraphrase Generation models with machine translation generated pre-training—0
IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages—0
Investigating the use of Paraphrase Generation for Question Reformulation in the FRANK QA system—0
Joint Learning of a Dual SMT System for Paraphrase Generation—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