Fetching the paper…
Reading the bibliography…
Automatic summarization of legal case judgements has traditionally been attempted by using extractive summarization methods.
Fine-tune bert for extractive summarization
Yang Liu. 2019 · 1903
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
Meteor: An automatic metric for mt evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
Earlier work this paper cites.
A Survey of Text Summarization Techniques , pages 43–76. Springer US
Ani Nenkova and Kathleen McKeown. 2012 · 2012
Earlier work this paper cites.
CaseSummarizer: A system for automated summarization of legal texts
Seth Polsley, Pooja Jhunjhunwala, and Ruihong Huang. 2016 · 2016
Earlier work this paper cites.
Summarunner: A recurrent neural network based sequence model for extractive summarization of documents
Ramesh Nallapati, Feifei Zhai, and Bowen Zhou. 2017 · 2017
Earlier work this paper cites.
Extracting the gist of chinese judgments of the supreme court
Chao-Lin Liu and Kuan-Chun Chen. 2019 · 2019
Earlier work this paper cites.
Automatic summarization of legal decisions using iterative masking of predictive sentences
Linwu Zhong, Ziyi Zhong, Zinian Zhao, Siyuan Wang, Kevin D. Ashley, and Matthias Grabmair. 2019 · 2019
Earlier work this paper cites.
Controlled hallucinations: Learning to generate faithfully from noisy data
Katja Filippova. 2020 · 2020
Cited alongside, same era.
PEGASUS: Pre-Training with Extracted Gap-Sentences for Abstractive Summarization
Jingqing Zhang, Yao Zhao, Mohammad Saleh, and Peter J. Liu. 2020 · 2020
Cited alongside, same era.
Reducing Quantity Hallucinations in Abstractive Summarization
Zheng Zhao, Shay B. Cohen, and Bonnie Webber. 2020 · 2020
Cited alongside, same era.
Incorporating domain knowledge for extractive summarization of legal case documents
Paheli Bhattacharya, Soham Poddar, Koustav Rudra, Kripabandhu Ghosh, and Saptarshi Ghosh. 2021 · 2021
Cited alongside, same era.
Automatic text summarization: A comprehensive survey
Wafaa S. El-Kassas, Cherif R. Salama, Ahmed A. Rafea, and Hoda K. Mohamed. 2021 · 2021
Cited alongside, same era.
SummaC: Re-visiting NLI-based models for inconsistency detection in summarization
Philippe Laban, Tobias Schnabel, Paul N Bennett, and Marti A Hearst. 2022 · 2022
Later among the works it cites.
Semantic self-segmentation for abstractive summarization of long documents in low-resource regimes
Gianluca Moro and Luca Ragazzi. 2022 · 2022
Later among the works it cites.
Legal case document summarization: Extractive and abstractive methods and their evaluation
Abhay Shukla, Paheli Bhattacharya, Soham Poddar, Rajdeep Mukherjee, Kripabandhu Ghosh, Pawan Goyal, and Saptarshi Ghosh. 2022 · 2022
Later among the works it cites.
Artificial hallucinations in ChatGPT: implications in scientific writing
Hussam Alkaissi and Samy I McFarlane. 2023 · 2023
Closest in time.
Ensemble methods for improving extractive summarization of legal case judgements
Aniket Deroy, Kripabandhu Ghosh, and Saptarshi Ghosh. 2023 · 2023
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Karolina Stanczak and Isabelle Augenstein. 2021 · 2021
Cited alongside, same era.
Extractive summarization of legal decisions using multi-task learning and maximal marginal relevance
Abhishek Agarwal, Shanshan Xu, and Matthias Grabmair. 2022 · 2022
Cited alongside, same era.
Named entity recognition in Indian court judgments
Prathamesh Kalamkar, Astha Agarwal, Aman Tiwari, Smita Gupta, Saurabh Karn, and Vivek Raghavan. 2022 · 2022
Cited alongside, same era.
Improving abstractive summarization of legal rulings through textual entailment
Diego de Vargas Feijo and Viviane P Moreira. 2023 · 2023
Closest in time.
Survey of hallucination in natural language generation
Ziwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Ye Jin Bang, Andrea Madotto, and Pascale Fung. 2023 · 2023
Closest in time.
Benchmarking large language models for news summarization
Tianyi Zhang, Faisal Ladhak, Esin Durmus, Percy Liang, Kathleen McKeown, and Tatsunori B Hashimoto. 2023 · 2023
Closest in time.