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We present a new benchmark dataset called PARADE for paraphrase identification that requires specialized domain knowledge.
Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Ruslan Salakhutdinov, and Quoc V Le. 2019 · 1906
Earlier work this paper cites.
Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
Earlier work this paper cites.
Albert: A lite bert for self-supervised learning of language representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2019 · 1909
Earlier work this paper cites.
Essentia: Mining domain-specific paraphrases with word-alignment graphs
Danni Ma, Chen Chen, Behzad Golshan, and Wang-Chiew Tan. 2019 · 1910
Earlier work this paper cites.
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. 2019 · 1910
Earlier work this paper cites.
Sentence alignment for monolingual comparable corpora
Regina Barzilay and Noemie Elhadad. 2003 · 2003
Earlier work this paper cites.
Unsupervised construction of large paraphrase corpora: Exploiting massively parallel news sources
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Earlier work this paper cites.
Automatically constructing a corpus of sentential paraphrases
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Earlier work this paper cites.
Paraphrase identification on the basis of supervised machine learning techniques
Zornitsa Kozareva and Andrés Montoyo. 2006 · 2006
Earlier work this paper cites.
Corpus-based and knowledge-based measures of text semantic similarity
Rada Mihalcea, Courtney Corley, Carlo Strapparava, et al. 2006 · 2006
Earlier work this paper cites.
Using dependency-based features to take take the ”para-farce” out of paraphrase
Stephen Wan, Mark Dras, Robert Dale, and Cécile Paris. 2006 · 2006
Earlier work this paper cites.
Proximity-based document representation for named entity retrieval
Desislava Petkova and W Bruce Croft. 2007 · 2007
Earlier work this paper cites.
Inter-coder agreement for computational linguistics
Ron Artstein and Massimo Poesio. 2008 · 2008
Earlier work this paper cites.
Paraphrase identification as probabilistic quasi-synchronous recognition
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Earlier work this paper cites.
Word sense disambiguation: A survey
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Cited alongside, same era.
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Cited alongside, same era.
Extracting paraphrases from definition sentences on the web
Chikara Hashimoto, Kentaro Torisawa, Stijn De Saeger, Jun’ichi Kazama, and Sadao Kurohashi. 2011 · 2011
Cited alongside, same era.
What is a paraphrase?
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Cited alongside, same era.
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Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
Cited alongside, same era.
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Xiang Ren, Jialu Liu, Xiao Yu, Urvashi Khandelwal, Quanquan Gu, Lidan Wang, and Jiawei Han. 2014 · 2014
Cited alongside, same era.
Extract domain-specific paraphrase from monolingual corpus for automatic evaluation of machine translation
Lilin Zhang, Zhen Weng, Wenyan Xiao, Jianyi Wan, Zhiming Chen, Yiming Tan, Maoxi Li, and Mingwen Wang. 2016 · 2016
Later among the works it cites.
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Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang, and Diana Inkpen. 2017 · 2017
Later among the works it cites.
First quora dataset release: Question pairs
Shankar Iyer, Nikhil Dandekar, and Kornél Csernai. 2017 · 2017
Later among the works it cites.
A continuously growing dataset of sentential paraphrases
Wuwei Lan, Siyu Qiu, Hua He, and Wei Xu. 2017 · 2017
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Shortcut-stacked sentence encoders for multi-domain inference
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Later among the works it cites.
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Extracting lexically divergent paraphrases from twitter
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Cited alongside, same era.
Domain-specific paraphrase extraction
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Cited alongside, same era.
Semeval-2015 task 1: Paraphrase and semantic similarity in twitter (pit)
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Neural network models for paraphrase identification, semantic textual similarity, natural language inference, and question answering
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PAWS: Paraphrase adversaries from word scrambling
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