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
Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process PriorsCode1
Automatic Compilation of Resources for Academic Writing and Evaluating with Informal Word Identification and Paraphrasing SystemCode1
AESOP: Paraphrase Generation with Adaptive Syntactic ControlCode1
Hierarchical Sketch Induction for Paraphrase GenerationCode1
Chinese Idiom ParaphrasingCode1
CoEdIT: Text Editing by Task-Specific Instruction TuningCode1
Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in RussianCode1
Factorising Meaning and Form for Intent-Preserving ParaphrasingCode1
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defenseCode1
Quality Controlled Paraphrase GenerationCode1
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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