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Lexical Simplification (LS) aims to simplify text at the lexical level.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901
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Automatic sense disambiguation using machine readable dictionaries: how to tell a pine cone from an ice cream cone
Michael Lesk. 1986 · 1986
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Introduction to wordnet: An on-line lexical database
George A Miller, Richard Beckwith, Christiane Fellbaum, Derek Gross, and Katherine J Miller. 1990 · 1990
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The use of a psycholinguistic database in the simplification of text for aphasic readers
Siobhan Devlin. 1998 · 1998
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A monolingual tree-based translation model for sentence simplification
Zhemin Zhu, Delphine Bernhard, and Iryna Gurevych. 2010 · 2010
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Automatic text simplification via synonym replacement
Robin Keskisärkkä and Arne Jönsson. 2012 · 2012
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Selecting proper lexical paraphrase for children
Tomoyuki Kajiwara, Hiroshi Matsumoto, and Kazuhide Yamamoto. 2013 · 2013
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Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
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Learning a lexical simplifier using wikipedia
Colby Horn, Cathryn Manduca, and David Kauchak. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
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Style transfer from non-parallel text by cross-alignment
Tianxiao Shen, Tao Lei, Regina Barzilay, and Tommi Jaakkola. 2017 · 2017
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CWIG3G2 - complex word identification task across three text genres and two user groups
Seid Muhie Yimam, Sanja Štajner, Martin Riedl, and Chris Biemann. 2017 · 2017
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Camb at cwi shared task 2018: Complex word identification with ensemble-based voting
Sian Gooding and Ekaterina Kochmar. 2018 · 2018
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A report on the complex word identification shared task 2018
Seid Muhie Yimam, Chris Biemann, Shervin Malmasi, Gustavo H Paetzold, Lucia Specia, Sanja Štajner, Anaïs Tack, and Marcos Zampieri. 2018 · 2018
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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.
Recursive context-aware lexical simplification
Sian Gooding and Ekaterina Kochmar. 2019 · 2019
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Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2020 · 2020
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Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
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Semi-supervised text simplification with back-translation and asymmetric denoising autoencoders
Yanbin Zhao, Lu Chen, Zhi Chen, and Kai Yu. 2020 · 2020
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al. 2022 · 2022
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Cental at tsar-2022 shared task: How does context impact bert-generated substitutions for lexical simplification?
Rodrigo Wilkens, David Alfter, Rémi Cardon, Isabelle Gribomont, Adrien Bibal, Watrin Patrick, Marie-Catherine de Marneffe, and Thomas François. 2022 · 2022
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Opt: Open pre-trained transformer language models
Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona Diab, Xian Li, Xi Victoria Lin, et al. 2022 · 2022
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Learning to paraphrase sentences to different complexity levels
Alison Chi, Li-Kuang Chen, Yi-Chen Chang, Shu-Hui Lee, and Jason S Chang. 2023 · 2023
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Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, and Jie Tang. 2021 · 2021
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Knowledge distillation: A survey
Jianping Gou, Baosheng Yu, Stephen J Maybank, and Dacheng Tao. 2021 · 2021
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Keep it simple: Unsupervised simplification of multi-paragraph text
Philippe Laban, Tobias Schnabel, Paul Bennett, and Marti A Hearst. 2021 · 2021
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Text simplification by tagging
Kostiantyn Omelianchuk, Vipul Raheja, and Oleksandr Skurzhanskyi. 2021 · 2021
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Lsbert: Lexical simplification based on bert
Jipeng Qiang, Yun Li, Yi Zhu, Yunhao Yuan, Yang Shi, and Xindong Wu. 2021 · 2021
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Large language models are zero-shot reasoners
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa. 2022 · 2022
Cited alongside, same era.
Cils at tsar-2022 shared task: Investigating the applicability of lexical substitution methods for lexical simplification
Sandaru Seneviratne, Elena Daskalaki, and Hanna Suominen. 2022 · 2022
Cited alongside, same era.
Yutao Feng, Jipeng Qiang, Yun Li, Yunhao Yuan, and Yi Zhu. 2023 · 2023
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From images to textual prompts: Zero-shot visual question answering with frozen large language models
Jiaxian Guo, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Boyang Li, Dacheng Tao, and Steven Hoi. 2023 · 2023
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Improving zero-shot visual question answering via large language models with reasoning question prompts
Yunshi Lan, Xiang Li, Xin Liu, Yang Li, Wei Qin, and Weining Qian. 2023 · 2023
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Yuanyuan Liang, Jianing Wang, Hanlun Zhu, Lei Wang, Weining Qian, and Yunshi Lan. 2023 · 2023
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ParaLS: Lexical substitution via pretrained paraphraser
Jipeng Qiang, Kang Liu, Yun Li, Yunhao Yuan, and Yi Zhu. 2023 · 2023
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Teaching the pre-trained model to generate simple texts for text simplification
Renliang Sun, Wei Xu, and Xiaojun Wan. 2023 · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al. 2023 · 2023
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Interleaving retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, and Ashish Sabharwal. 2023 · 2023
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Unsupervised neural text simplification
Sai Surya, Abhijit Mishra, Anirban Laha, Parag Jain, and Karthik Sankaranarayanan. 2019 · 2068
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