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 191–200 of 209 papers

TitleStatusHype
Sentential Paraphrase Generation for Agglutinative Languages Using SVM with a String Kernel—0
Crowdsourcing Language Generation Templates for Dialogue Systems—0
Modelling Events through Memory-based, Open-IE Patterns for Abstractive Summarization—0
How to make words with vectors: Phrase generation in distributional semantics—0
Creating and using large monolingual parallel corpora for sentential paraphrase generation—0
The Multilingual Paraphrase Database—0
Using Paraphrases and Lexical Semantics to Improve the Accuracy and the Robustness of Supervised Models in Situated Dialogue Systems—0
Supervised Sentence Fusion with Single-Stage Inference—0
Leveraging Crowdsourcing for Paraphrase Recognition—0
Semantic Neighborhoods as Hypergraphs—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