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
Neural Paraphrase Generation using Transfer Learning—0
Building a Non-Trivial Paraphrase Corpus Using Multiple Machine Translation SystemsCode0
Understanding Task Design Trade-offs in Crowdsourced Paraphrase Collection—0
The CogALex-V Shared Task on the Corpus-Based Identification of Semantic Relations—0
CogALex-V Shared Task: CGSRC - Classifying Semantic Relations using Convolutional Neural Networks—0
Neural Clinical Paraphrase Generation with Attention—0
Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement—0
Contextual LSTM (CLSTM) models for Large scale NLP tasks—0
Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing—0
Polarity Classification of Short Product Reviews via Multiple Cluster-based SVM Classifiers—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