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The task of determining whether two texts are paraphrases has long been a challenge in NLP.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, and Prafulla et al. Dhariwal. 2020 · 1901
Earlier work this paper cites.
Institutio Oratoria (Book X) , loeb classical library edition, 1920 edition
Marcus Fabius Quintilianus. 95 · 1920
Earlier work this paper cites.
A coefficient of agreement for nominal scales
Jacob Cohen. 1960 · 1960
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Automatically constructing a corpus of sentential paraphrases
William B. Dolan and Chris Brockett. 2005 · 2005
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Evaluating wordnet-based measures of lexical semantic relatedness
Alexander Budanitsky and Graeme Hirst. 2006 · 2006
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Using paraphrases for parameter tuning in statistical machine translation
Nitin Madnani, Necip Fazil Ayan, Philip Resnik, and Bonnie Dorr. 2007 · 2007
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Experiments on the difference between semantic similarity and relatedness
Peter Kolb. 2009 · 2009
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Increasing recall for text re-use in historical documents to support research in the humanities
Marco Büchler, Gregory Crane, Maria Moritz, and Alison Babeu. 2012 · 2012
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*SEM 2013 shared task: Semantic textual similarity
Eneko Agirre, Daniel Cer, Mona Diab, Aitor Gonzalez-Agirre, and Weiwei Guo. 2013 · 2013
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Abstract Meaning Representation for sembanking
Laura Banarescu, Claire Bonial, Shu Cai, Madalina Georgescu, Kira Griffitt, Ulf Hermjakob, Kevin Knight, Philipp Koehn, Martha Palmer, and Nathan Schneider. 2013 · 2013
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Plagiarism meets paraphrasing: Insights for the next generation in automatic plagiarism detection
Alberto Barrón-Cedeño, Marta Vila, M. Antònia Martí, and Paolo Rosso. 2013 · 2013
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What is a paraphrase?
Rahul Bhagat and Eduard Hovy. 2013 · 2013
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PPDB: The paraphrase database
Juri Ganitkevitch, Benjamin Van Durme, and Chris Callison-Burch. 2013 · 2013
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The multilingual paraphrase database
Juri Ganitkevitch and Chris Callison-Burch. 2014 · 2014
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A SICK cure for the evaluation of compositional distributional semantic models
Marco Marelli, Stefano Menini, Marco Baroni, Luisa Bentivogli, Raffaella Bernardi, and Roberto Zamparelli. 2014 · 2014
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A large annotated corpus for learning natural language inference
Samuel R. Bowman, Gabor Angeli, Christopher Potts, and Christopher D. Manning. 2015 · 2015
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UPPC - Urdu paraphrase plagiarism corpus
Muhammad Sharjeel, Paul Rayson, and Rao Muhammad Adeel Nawab. 2016 · 2016
Cited alongside, same era.
SemEval-2017 task 1: Semantic textual similarity multilingual and crosslingual focused evaluation
Daniel Cer, Mona Diab, Eneko Agirre, Iñigo Lopez-Gazpio, and Lucia Specia. 2017 · 2017
Cited alongside, same era.
The WebNLG challenge: Generating text from RDF data
Claire Gardent, Anastasia Shimorina, Shashi Narayan, and Laura Perez-Beltrachini. 2017 · 2017
Cited alongside, same era.
Paraphrasing revisited with neural machine translation
Jonathan Mallinson, Rico Sennrich, and Mirella Lapata. 2017 · 2017
Cited alongside, same era.
XNLI: Evaluating cross-lingual sentence representations
Alexis Conneau, Ruty Rinott, Guillaume Lample, Adina Williams, Samuel Bowman, Holger Schwenk, and Veselin Stoyanov. 2018 · 2018
Cited alongside, same era.
OneStopEnglish corpus: A new corpus for automatic readability assessment and text simplification
Automatic machine translation evaluation in many languages via zero-shot paraphrasing
Brian Thompson and Matt Post. 2020 · 2020
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The GEM benchmark: Natural language generation, its evaluation and metrics
Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Anuoluwapo Aremu, Antoine Bosselut, and Khyathi Raghavi et al. Chandu. 2021 · 2021
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Paraphrase generation: A survey of the state of the art
Jianing Zhou and Suma Bhat. 2021 · 2021
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TRUE: Re-evaluating factual consistency evaluation
Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansy, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, and Yossi Matias. 2022 · 2022
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Towards better characterization of paraphrases
Timothy Liu and De Wen Soh. 2022 · 2022
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Sowmya Vajjala and Ivana Lučić. 2018 · 2018
Cited alongside, same era.
ParaNMT-50M: Pushing the limits of paraphrastic sentence embeddings with millions of machine translations
John Wieting and Kevin Gimpel. 2018 · 2018
Cited alongside, same era.
Texygen: A benchmarking platform for text generation models
Yaoming Zhu, Sidi Lu, Lei Zheng, Jiaxian Guo, Weinan Zhang, Jun Wang, and Yong Yu. 2018 · 2018
Cited alongside, same era.
Probing neural network comprehension of natural language arguments
Timothy Niven and Hung-Yu Kao. 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.
PAWS-X: A cross-lingual adversarial dataset for paraphrase identification
Yinfei Yang, Yuan Zhang, Chris Tar, and Jason Baldridge. 2019 · 2019
Cited alongside, same era.
PAWS: Paraphrase adversaries from word scrambling
Yuan Zhang, Jason Baldridge, and Luheng He. 2019 · 2019
Cited alongside, same era.
Teemu Vahtola, Mathias Creutz, and Jörg Tiedemann. 2022 · 2022
Later among the works it cites.
Benchmark probing: Investigating data leakage in large language models
Chunyuan Deng, Yilun Zhao, Xiangru Tang, Mark Gerstein, and Arman Cohan. 2024 · 2023
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Paraphrasing evades detectors of ai-generated text, but retrieval is an effective defense
Kalpesh Krishna, Yixiao Song, Marzena Karpinska, John Wieting, and Mohit Iyyer. 2023 · 2023
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Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, and Adam R. Brown et al. 2023 · 2023
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Tower: An open multilingual large language model for translation-related tasks
Duarte M Alves, José Pombal, Nuno M Guerreiro, Pedro H Martins, João Alves, Amin Farajian, Ben Peters, Ricardo Rei, Patrick Fernandes, Sweta Agrawal, et al. 2024 · 2024
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Chateval: Towards better LLM-based evaluators through multi-agent debate
Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, and Zhiyuan Liu. 2024 · 2024
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Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, et al. 2024 · 2024
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On the role of summary content units in text summarization evaluation
Marcel Nawrath, Agnieszka Nowak, Tristan Ratz, Danilo Walenta, Juri Opitz, Leonardo Ribeiro, João Sedoc, Daniel Deutsch, Simon Mille, Yixin Liu, Sebastian Gehrmann, Lining Zhang, Saad Mahamood, Miruna Clinciu, Khyathi Chandu, and Yufang Hou. 2024 · 2024
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A Closer Look at Classification Evaluation Metrics and a Critical Reflection of Common Evaluation Practice
Juri Opitz. 2024 · 2024
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A survey of meaning representations – from theory to practical utility
Zacchary Sadeddine, Juri Opitz, and Fabian Suchanek. 2024 · 2024
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