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A challenging task when generating summaries of legal documents is the ability to address their argumentative nature.
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Derek Miller. 2019 · 1906
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Claire Grover, Ben Hachey, Ian Hughson, and Chris Korycinski. 2003 · 2003
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Abigail See, Peter J Liu, and Christopher D Manning. 2017 · 2017
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Arman Cohan, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Seokhwan Kim, Walter Chang, and Nazli Goharian. 2018 · 2018
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Deepa Anand and Rupali Wagh. 2019 · 2019
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Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Summarizing legal rulings: Comparative experiments
Diego Feijo and Viviane Moreira. 2019 · 2019
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Classification and clustering of arguments with contextualized word embeddings
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Automatic summarization of legal bills: A comparative analysis of classical extractive approaches
Deepali Jain, Malaya Dutta Borah, and Anupam Biswas. 2021 · 2021
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Nils Reimers, Benjamin Schiller, Tilman Beck, Johannes Daxenberger, Christian Stab, and Iryna Gurevych. 2019 · 2019
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Quantitative argument summarization and beyond: Cross-domain key point analysis
Roy Bar-Haim, Yoav Kantor, Lilach Eden, Roni Friedman, Dan Lahav, and Noam Slonim. 2020 · 2020
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Pegasus: Pre-training with extracted gap-sentences for abstractive summarization
Jingqing Zhang, Yao Zhao, Mohammad Saleh, and Peter Liu. 2020 · 2020
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Long document summarization in a low resource setting using pretrained language models
Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna, Pradhiksha Ashok Kumar, Rheeya Uppaal, Bradford Windsor, Eliot Brenner, Dominic Dotterrer, Rajarshi Das, and Andrew McCallum. 2021 · 2021
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What’s the issue here?: Task-based evaluation of reader comment summarization systems
Emma Barker, Monica Paramita, Adam Funk, Emina Kurtic, Ahmet Aker, Jonathan Foster, Mark Hepple, and Robert Gaizauskas
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Muhammad Khalifa, Miguel Ballesteros, and Kathleen Mckeown. 2021 · 2021
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Toward summarizing case decisions via extracting argument issues, reasons, and conclusions
Huihui Xu, Jaromir Savelka, and Kevin D Ashley. 2021 · 2021
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When does pretraining help? assessing self-supervised learning for law and the casehold dataset
Lucia Zheng, Neel Guha, Brandon R. Anderson, Peter Henderson, and Daniel E. Ho. 2021 · 2021
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Semantic self-segmentation for abstractive summarization of long legal documents in low-resource regimes
Gianluca Moro and Luca Ragazzi. 2022 · 2022
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Legal public opinion news abstractive summarization by incorporating topic information
Yuxin Huang, Zhengtao Yu, Junjun Guo, Zhiqiang Yu, and Yantuan Xian. 2020 · 2050
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