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 151–200 of 209 papers

TitleStatusHype
Generating Paraphrases with Lean Vocabulary—0
Towards Diverse Paraphrase Generation Using Multi-Class Wasserstein GAN—0
PNAT: Non-autoregressive Transformer by Position Learning—0
Unsupervised Paraphrasing by Simulated Annealing—0
An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase GenerationCode0
Polly Want a Cracker: Analyzing Performance of Parroting on Paraphrase Generation Datasets—0
A Paraphrase Generation System for EHR Question Answering—0
Generating Sentences from Disentangled Syntactic and Semantic SpacesCode0
Negative Lexically Constrained Decoding for Paraphrase Generation—0
Decomposable Neural Paraphrase Generation—0
Controllable Paraphrase Generation with a Syntactic Exemplar—0
Paraphrase Generation for Semi-Supervised Learning in NLU—0
ReDecode Framework for Iterative Improvement in Paraphrase Generation—0
A task in a suit and a tie: paraphrase generation with semantic augmentation—0
Generating Syntactic Paraphrases—0
Measuring Semantic Abstraction of Multilingual NMT with Paraphrase Recognition and Generation Tasks—0
D-PAGE: Diverse Paraphrase Generation—0
Learning Semantic Sentence Embeddings using Sequential Pair-wise DiscriminatorCode0
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
A Deep Generative Framework for Paraphrase GenerationCode1
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
CogALex-V Shared Task: CGSRC - Classifying Semantic Relations using Convolutional Neural Networks—0
The CogALex-V Shared Task on the Corpus-Based Identification of Semantic Relations—0
Neural Clinical Paraphrase Generation with Attention—0
Neural Paraphrase Generation with Stacked Residual LSTM NetworksCode1
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
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
The Multilingual Paraphrase Database—0
Creating and using large monolingual parallel corpora for sentential paraphrase generation—0
Supervised Sentence Fusion with Single-Stage Inference—0
Using Paraphrases and Lexical Semantics to Improve the Accuracy and the Robustness of Supervised Models in Situated Dialogue Systems—0
Leveraging Crowdsourcing for Paraphrase Recognition—0
Using character overlap to improve language transformation—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