Fetching the paper…
Reading the bibliography…
Summarization of legal case judgement documents is a challenging problem in Legal NLP.
Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 1904
Earlier work this paper cites.
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2019 · 1910
Earlier work this paper cites.
Beyond boolean search: Flexicon, a legal tex-based intelligent system
Dephne Gelbart and JC Smith. 1991 · 1991
Earlier work this paper cites.
Sentence reduction for automatic text summarization
Hongyan Jing. 2000 · 2000
Earlier work this paper cites.
Generic text summarization using relevance measure and latent semantic analysis
Yihong Gong and Xin Liu. 2001 · 2001
Earlier work this paper cites.
Longformer: The long-document transformer
Iz Beltagy, Matthew E. Peters, and Arman Cohan. 2020 · 2004
Earlier work this paper cites.
Lexrank: Graph-based lexical centrality as salience in text summarization
Günes Erkan and Dragomir R. Radev. 2004 · 2004
Earlier work this paper cites.
Letsum, an automatic legal text summarizing system
Atefeh Farzindar and Guy Lapalme. 2004 · 2004
Earlier work this paper cites.
A divide-and-conquer approach to the summarization of academic articles
Alexios Gidiotis and Grigorios Tsoumakas. 2020 · 2004
Earlier work this paper cites.
Improving legal document summarization using graphical models
M Saravanan, B Ravindran, and S Raman. 2006 · 2006
Earlier work this paper cites.
Document summarization based on data reconstruction
Zhanying He, Chun Chen, Jiajun Bu, Can Wang, Lijun Zhang, Deng Cai, and Xiaofei He. 2012 · 2012
Earlier work this paper cites.
Annotated Gigaword
Courtney Napoles, Matthew Gormley, and Benjamin Van Durme. 2012 · 2012
Earlier work this paper cites.
Teaching machines to read and comprehend
Karl Moritz Hermann, Tomas Kocisky, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom. 2015 · 2015
Earlier work this paper cites.
Casesummarizer: A system for automated summarization of legal texts
Seth Polsley, Pooja Jhunjhunwala, and Ruihong Huang. 2016 · 2016
Cited alongside, same era.
Summarunner: A recurrent neural network based sequence model for extractive summarization of documents
Ramesh Nallapati, Feifei Zhai, and Bowen Zhou. 2017 · 2017
Cited alongside, same era.
Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
Cited alongside, same era.
A discourse-aware attention model for abstractive summarization of long documents
Arman Cohan, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Seokhwan Kim, Walter Chang, and Nazli Goharian · 2018
Cited alongside, same era.
A survey on neural network-based summarization methods
Yue Dong. 2018 · 2018
Cited alongside, same era.
Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
Later among the works it cites.
Sentence centrality revisited for unsupervised summarization
Hao Zheng and Mirella Lapata. 2019 · 2019
Later among the works it 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
Later among the works it cites.
What have we achieved on text summarization?
Dandan Huang, Leyang Cui, Sen Yang, Guangsheng Bao, Kun Wang, Jun Xie, and Yue Zhang. 2020a · 2020
Later among the works it cites.
What have we achieved on text summarization?
Dandan Huang, Leyang Cui, Sen Yang, Guangsheng Bao, Kun Wang, Jun Xie, and Yue Zhang. 2020b · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Rulingbr: A summarization dataset for legal texts
Diego Feijó and Viviane Moreira. 2018 · 2018
Cited alongside, same era.
Content selection in deep learning models of summarization
Chris Kedzie, Kathleen Mckeown, and Hal Daumé III. 2018 · 2018
Cited alongside, same era.
Ranking sentences for extractive summarization with reinforcement learning
Shashi Narayan, Shay B Cohen, and Mirella Lapata. 2018 · 2018
Cited alongside, same era.
A comparative study of summarization algorithms applied to legal case judgments
Paheli Bhattacharya, Kaustubh Hiware, Subham Rajgaria, Nilay Pochhi, Kripabandhu Ghosh, and Saptarshi Ghosh. 2019 · 2019
Cited alongside, same era.
Extracting the gist of chinese judgments of the supreme court
Chao-Lin Liu and Kuan-Chun Chen. 2019 · 2019
Cited alongside, same era.
Text summarization with pretrained encoders
Yang Liu and Mirella Lapata. 2019 · 2019
Cited alongside, same era.
Plain English summarization of contracts
Laura Manor and Junyi Jessy Li. 2019 · 2019
Cited alongside, same era.
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
Later among the works it cites.
Pegasus: pre-training with extracted gap-sentences for abstractive summarization
Jingqing Zhang, Yao Zhao, Mohammad Saleh, and Peter J Liu. 2020 · 2020
Later among the works it cites.
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
Later among the works it cites.
Deeprhole: deep learning for rhetorical role labeling of sentences in legal case documents
Paheli Bhattacharya, Shounak Paul, Kripabandhu Ghosh, and Saptarshi Ghosh. 2021 · 2021
Later among the works it cites.
Improving abstractive summarization of legal rulings through textual entailment
Diego Feijo and Viviane P. Moreira. 2021 · 2021
Later among the works it cites.
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics
Artidoro Pagnoni, Vidhisha Balachandran, and Yulia Tsvetkov. 2021 · 2021
Later among the works it cites.
On generating extended summaries of long documents
Sajad Sotudeh, Arman Cohan, and Nazli Goharian. 2021 · 2021
Later among the works it cites.
SummaC: Re-visiting NLI-based models for inconsistency detection in summarization
Philippe Laban, Tobias Schnabel, Paul N. Bennett, and Marti A. Hearst. 2022 · 2022
Closest in time.