Task-Oriented Paraphrase Analytics
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Abstract (arXiv)
Since paraphrasing is an ill-defined task, the term "paraphrasing" covers text transformation tasks with different characteristics. Consequently, existing paraphrasing studies have applied quite different (explicit and implicit) criteria as to when a pair of texts is to be considered a paraphrase, all of which amount to postulating a certain level of semantic or lexical similarity. In this paper, we conduct a literature review and propose a taxonomy to organize the 25~identified paraphrasing (sub-)tasks. Using classifiers trained to identify the tasks that a given paraphrasing instance fits, we find that the distributions of task-specific instances in the known paraphrase corpora vary substantially. This means that the use of these corpora, without the respective paraphrase conditions being clearly defined (which is the normal case), must lead to incomparable and misleading results.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 39 of its 107 references that are in the map. First posted on arXiv 26 Mar 2024.
Builds on
39 of 107 references.
References · 39
- 2014Microsoft COCO: Common Objects in Contextcited by 17,498
- 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
- 2013Intriguing properties of neural networkscited by 5,114
- 2015Character-level Convolutional Networks for Text Classificationcited by 2,293
- 2015A large annotated corpus for learning natural language inferencecited by 1,837
- 2019PAWS: Paraphrase Adversaries from Word Scramblingcited by 395
- 2015A Neural Attention Model for Abstractive Sentence Summarizationcited by 394
- 2018Adversarial Example Generation with Syntactically Controlled Paraphrase Networkscited by 282
- 2020Reformulating Unsupervised Style Transfer as Paraphrase Generationcited by 181
- 2018QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehensioncited by 164
- 2020Deep Learning for Text Style Transfer: A Surveycited by 161
- 2020Captioning Images Taken by People Who Are Blindcited by 108
27 more
- 2017Sentence Simplification with Deep Reinforcement Learningcited by 107
- 2020ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformationscited by 101
- 2019Neural Linguistic Steganographycited by 73
- 2017A Continuously Growing Dataset of Sentential Paraphrasescited by 72
- 2015A Hierarchical Recurrent Encoder-Decoder For Generative Context-Aware Query Suggestioncited by 68
- 2017Paraphrase Generation with Deep Reinforcement Learningcited by 58
- 2020Neural Syntactic Preordering for Controlled Paraphrase Generationcited by 56
- 2017A Deep Generative Framework for Paraphrase Generationcited by 54
- 2020Controllable Text Simplification with Explicit Paraphrasingcited by 53
- 2016Neural Paraphrase Generation with Stacked Residual LSTM Networkscited by 52
- 2020Syntax-guided Controlled Generation of Paraphrasescited by 47
- 2017Learning to Paraphrase for Question Answeringcited by 46
- 2020Paraphrase Augmented Task-Oriented Dialog Generationcited by 43
- 2017The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representationscited by 41
- 2022How Large Language Models are Transforming Machine-Paraphrased Plagiarismcited by 38
- 2019HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoningcited by 35
- 2022Inducing Positive Perspectives with Text Reframingcited by 31
- 2022Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuningcited by 25
- 2017Evaluating prose style transfer with the Biblecited by 23
- 2016Joint Copying and Restricted Generation for Paraphrasecited by 17
- 2018A task in a suit and a tie: paraphrase generation with semantic augmentationcited by 15
- 2022PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data Augmentationcited by 14
- 2019Fiction Sentence Expansion and Enhancement via Focused Objective and Novelty Curve Samplingcited by 4
- 2021VAE based Text Style Transfer with Pivot Words Enhancement Learningcited by 4
- 2018Par4Sim -- Adaptive Paraphrasing for Text Simplificationcited by 3
- 2023More Robust Schema-Guided Dialogue State Tracking via Tree-Based Paraphrase Rankingcited by 2
- 2023Coherence and Diversity through Noise: Self-Supervised Paraphrase Generation via Structure-Aware Denoisingcited by 1
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