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Paraphrase generation has been widely used in various downstream tasks.
Simple fast algorithms for the editing distance between trees and related problems
Kaizhong Zhang and Dennis Shasha. 1989 · 1989
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Applied nonparametric statistics pws
Wayne W Daniel. 1990 · 1990
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Electra: Pre-training text encoders as discriminators rather than generators
Kevin Clark, Minh-Thang Luong, Quoc V Le, and Christopher D Manning. 2020 · 2003
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The components of paraphrase evaluations
Philip M. McCarthy, Rebekah H. Guess, and D. McNamara. 2009 · 2009
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Squibs: What is a paraphrase?
Rahul Bhagat and Eduard Hovy. 2013 · 2013
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Microsoft coco: Common objects in context
Tsung-Yi Lin, M. Maire, Serge J. Belongie, James Hays, P. Perona, D. Ramanan, Piotr Dollár, and C. L. Zitnick. 2014 · 2014
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A neural attention model for abstractive sentence summarization
Alexander M. Rush, Sumit Chopra, and Jason Weston. 2015 · 2015
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Effective parallel corpus mining using bilingual sentence embeddings
Mandy Guo, Qinlan Shen, Yinfei Yang, Heming Ge, Daniel Cer, Gustavo Hernandez Abrego, Keith Stevens, Noah Constant, Yun-Hsuan Sung, Brian Strope, and Ray Kurzweil. 2018 · 2018
Earlier work this paper cites.
A deep generative framework for paraphrase generation
Ankush Gupta, Arvind Agarwal, Prawaan Singh, and Piyush Rai. 2018 · 2018
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Adversarial example generation with syntactically controlled paraphrase networks
Mohit Iyyer, John Wieting, Kevin Gimpel, and Luke Zettlemoyer. 2018 · 2018
Earlier work this paper cites.
The natural language decathlon: Multitask learning as question answering
Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, and Richard Socher. 2018 · 2018
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Diverse beam search for improved description of complex scenes
Ashwin K Vijayakumar, Michael Cogswell, Ramprasaath R Selvaraju, Qing Sun, Stefan Lee, David Crandall, and Dhruv Batra. 2018 · 2018
Cited alongside, same era.
Qanet: Combining local convolution with global self-attention for reading comprehension
Adams Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao, Kai Chen, Mohammad Norouzi, and Quoc V. Le. 2018 · 2018
Cited alongside, same era.
Generating sentences from disentangled syntactic and semantic spaces
Yu Bao, Hao Zhou, Shujian Huang, Lei Li, Lili Mou, Olga Vechtomova, Xin-yu Dai, and Jiajun Chen. 2019 · 2019
Cited alongside, same era.
Controllable paraphrase generation with a syntactic exemplar
Mingda Chen, Qingming Tang, Sam Wiseman, and Kevin Gimpel. 2019 · 2019
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
Neural syntactic preordering for controlled paraphrase generation
Tanya Goyal and Greg Durrett. 2020 · 2020
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Transformers to learn hierarchical contexts in multiparty dialogue for span-based question answering
Changmao Li and Jinho D. Choi. 2020 · 2020
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Unsupervised paraphrase generation via dynamic blocking
Tong Niu, Semih Yavuz, Yingbo Zhou, Huan Wang, Nitish Shirish Keskar, and Caiming Xiong. 2020 · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 2020
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Making monolingual sentence embeddings multilingual using knowledge distillation
Nils Reimers and Iryna Gurevych. 2020 · 2020
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Large-scale, diverse, paraphrastic bitexts via sampling and clustering
J. Edward Hu, Abhinav Singh, Nils Holzenberger, Matt Post, and Benjamin Van Durme. 2019 · 2019
Cited alongside, same era.
Decomposable neural paraphrase generation
Zichao Li, Xin Jiang, Lifeng Shang, and Qun Liu. 2019 · 2019
Cited alongside, same era.
Paraphrase diversification using counterfactual debiasing
Sunghyun Park, Seung-won Hwang, Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim, and Jinyeong Yim. 2019 · 2019
Cited alongside, same era.
Exploring diverse expressions for paraphrase generation
Lihua Qian, Lin Qiu, Weinan Zhang, Xin Jiang, and Yong Yu. 2019 · 2019
Cited alongside, same era.
Sentence-BERT: Sentence embeddings using Siamese BERT-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
Cited alongside, same era.
User-oriented paraphrase generation with keywords controlled network
Daojian Zeng, Haoran Zhang, Lingyun Xiang, Jin Wang, and Guoliang Ji. 2019 · 2019
Cited alongside, same era.
Open question answering over curated and extracted knowledge bases
Anthony Fader, Luke Zettlemoyer, and Oren Etzioni. 2014a
Cited in the paper.
BLEURT: Learning robust metrics for text generation
Thibault Sellam, Dipanjan Das, and Ankur Parikh. 2020 · 2020
Later among the works it cites.
Unsupervised paraphrasing via deep reinforcement learning
AB Siddique, Samet Oymak, and Vagelis Hristidis. 2020 · 2020
Later among the works it cites.
Paraphrase generation as zero-shot multilingual translation: Disentangling semantic similarity from lexical and syntactic diversity
Brian Thompson and Matt Post. 2020 · 2020
Later among the works it cites.
Texygen: A benchmarking platform for text generation models
Yaoming Zhu, Sidi Lu, Lei Zheng, Jiaxian Guo, Weinan Zhang, Jun Wang, and Yong Yu. 2018 · 2020
Later among the works it cites.
Unsupervised contextual paraphrase generation using lexical control and reinforcement learning
Sonal Garg, Sumanth Prabhu, Hemant Misra, and G. Srinivasaraghavan. 2021 · 2021
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Factorising meaning and form for intent-preserving paraphrasing
Tom Hosking and Mirella Lapata. 2021 · 2021
Later among the works it cites.