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 171–180 of 209 papers

TitleStatusHype
Construction of a Multilingual Corpus Annotated with Translation Relations—0
Dictionary-Guided Editing Networks for Paraphrase Generation—0
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification—0
Learning Semantic Sentence Embeddings using Sequential Pair-wise DiscriminatorCode0
Discriminating between Lexico-Semantic Relations with the Specialization Tensor ModelCode0
A Comparison of Two Paraphrase Models for Taxonomy Augmentation—0
Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase GenerationCode0
Metaphor: A Computational Perspective by Tony Veale, Ekaterina Shutova and Beata Beigman Klebanov—0
ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations—0
Paraphrase Generation with Deep Reinforcement Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HRQ-VAEiBLEU24.93—Unverified
2SeparatoriBLEU14.84—Unverified
#ModelMetricClaimedVerifiedStatus
1HRQ-VAEiBLEU18.42—Unverified
2SeparatoriBLEU5.84—Unverified
#ModelMetricClaimedVerifiedStatus
1HRQ-VAEBLEU27.9—Unverified