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 151–160 of 209 papers

TitleStatusHype
ConRPG: Paraphrase Generation using Contexts as Regularizer—0
Construction of a Multilingual Corpus Annotated with Translation Relations—0
Contextual Data Augmentation for Task-Oriented Dialog Systems—0
Contextual LSTM (CLSTM) models for Large scale NLP tasks—0
Continual Learning for Seq2Seq Generations with Transformer Calibration—0
CoSe-Co: Text Conditioned Generative CommonSense Contextualizer—0
Creating and using large monolingual parallel corpora for sentential paraphrase generation—0
Crowdsourcing Language Generation Templates for Dialogue Systems—0
Data Augmentation with Paraphrase Generation and Entity Extraction for Multimodal Dialogue System—0
Data-Efficient Paraphrase Generation to Bootstrap Intent Classification and Slot Labeling for New Features in Task-Oriented Dialog Systems—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