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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–110 of 209 papers

TitleStatusHype
Edit Distance Based Curriculum Learning for Paraphrase Generation—0
Neural semi-Markov CRF for Monolingual Word AlignmentCode1
Factorising Meaning and Form for Intent-Preserving ParaphrasingCode1
Neural-Driven Search-Based Paraphrase Generation—0
Unsupervised Contextual Paraphrase Generation using Lexical Control and Reinforcement Learning—0
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel PairsCode1
ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase GenerationCode1
Delexicalized Paraphrase Generation—0
Data-Efficient Paraphrase Generation to Bootstrap Intent Classification and Slot Labeling for New Features in Task-Oriented Dialog Systems—0
An Empirical Study on Multi-Task Learning for Text Style Transfer and Paraphrase Generation—0
Show:102550
← PrevPage 11 of 21Next →
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