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 201–209 of 209 papers

TitleStatusHype
Paraphrasing Adaptation for Web Search Ranking—0
Using character overlap to improve language transformation—0
IIIT-H: A Corpus-Driven Co-occurrence Based Probabilistic Model for Noun Compound Paraphrasing—0
Robust Systems for Preposition Error Correction Using Wikipedia Revisions—0
Thai Sentence Paraphrasing from the Lexical Resource—0
Joint Learning of a Dual SMT System for Paraphrase Generation—0
String Re-writing Kernel—0
PREFER: Using a Graph-Based Approach to Generate Paraphrases for Language Learning—0
On-Demand Distributional Semantic Distance and Paraphrasing—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