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Legal case retrieval, which aims to find relevant cases for a query case, plays a core role in the intelligent legal system.
An information-theoretic perspective of tf–idf measures
Akiko Aizawa. 2003 · 2003
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Knowledge representation for the intelligent legal case retrieval. In International Conference on Knowledge-Based and Intelligent Information and Engineering Systems . Springer, 339–345
Yiming Zeng, Ruili Wang, John Zeleznikow, and Elizabeth Kemp. 2005 · 2005
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ChengXiang Zhai. 2008 · 2008
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The probabilistic relevance framework: BM25 and beyond
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Improving legal information retrieval using an ontological framework
Manavalan Saravanan, Balaraman Ravindran, and Shivani Raman. 2009 · 2009
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A history of AI and Law in 50 papers: 25 years of the international conference on AI and Law
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MS MARCO: A human generated machine reading comprehension dataset. In CoCo@ NIPs
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Ilya Loshchilov and Frank Hutter. 2018 · 2018
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Roberta: A robustly optimized bert pretraining approach
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ERNIE: Enhanced language representation with informative entities
Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, and Qun Liu. 2019 · 2019
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LEGAL-BERT: The muppets straight out of law school
Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, Nikolaos Aletras, and Ion Androutsopoulos. 2020 · 2020
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Overview of the TREC 2019 deep learning track
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, and Ellen M Voorhees. 2020 · 2020
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GPT-3: Its nature, scope, limits, and consequences
Luciano Floridi and Massimo Chiriatti. 2020 · 2020
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Dense passage retrieval for open-domain question answering
Vladimir Karpukhin, Barlas Oğuz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih. 2020 · 2020
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COLIEE 2020: methods for legal document retrieval and entailment. In JSAI International Symposium on Artificial Intelligence . Springer, 196–210
Juliano Rabelo, Mi-Young Kim, Randy Goebel, Masaharu Yoshioka, Yoshinobu Kano, and Ken Satoh. 2020 · 2020
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BERT-PLI: Modeling Paragraph-Level Interactions for Legal Case Retrieval.. In IJCAI . 3501–3507
Yunqiu Shao, Jiaxin Mao, Yiqun Liu, Weizhi Ma, Ken Satoh, Min Zhang, and Shaoping Ma. 2020 · 2020
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RepBERT: Contextualized text embeddings for first-stage retrieval
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Min Zhang, and Shaoping Ma. 2020 · 2020
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Axiomatically Regularized Pre-training for Ad hoc Search
Jia Chen, Yiqun Liu, Yan Fang, Jiaxin Mao, Hui Fang, Shenghao Yang, Xiaohui Xie, Min Zhang, and Shaoping Ma. 2022 · 2022
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Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking
Qian Dong, Yiding Liu, Suqi Cheng, Shuaiqiang Wang, Zhicong Cheng, Shuzi Niu, and Dawei Yin. 2022 · 2022
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Pre-training methods in information retrieval
Yixing Fan, Xiaohui Xie, Yinqiong Cai, Jia Chen, Xinyu Ma, Xiangsheng Li, Ruqing Zhang, Jiafeng Guo, et al · 2022
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RetroMAE: Pre-training Retrieval-oriented Transformers via Masked Auto-Encoder
Zheng Liu and Yingxia Shao. 2022 · 2022
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Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction
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Sophia Althammer, Arian Askari, Suzan Verberne, and Allan Hanbury. 2021 · 2021
Cited alongside, same era.
Legal judgment prediction via relational learning. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval . 983–992
Qian Dong and Shuzi Niu. 2021 · 2021
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Condenser: a pre-training architecture for dense retrieval
Luyu Gao and Jamie Callan. 2021a · 2021
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Unsupervised corpus aware language model pre-training for dense passage retrieval
Luyu Gao and Jamie Callan. 2021b · 2021
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Less is More: Pre-train a Strong Text Encoder for Dense Retrieval Using a Weak Decoder
Shuqi Lu, Di He, Chenyan Xiong, Guolin Ke, Waleed Malik, Zhicheng Dou, Paul Bennett, Tieyan Liu, and Arnold Overwijk. 2021 · 2021
Cited alongside, same era.
Retrieving legal cases from a large-scale candidate corpus
Yixiao Ma, Yunqiu Shao, Bulou Liu, Yiqun Liu, Min Zhang, and Shaoping Ma. 2021a · 2021
Cited alongside, same era.
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . 5835–5847
Yingqi Qu, Yuchen Ding, Jing Liu, Kai Liu, Ruiyang Ren, Wayne Xin Zhao, Daxiang Dong, Hua Wu, and Haifeng Wang. 2021 · 2021
Cited alongside, same era.
Lawformer: A pre-trained language model for chinese legal long documents
Chaojun Xiao, Xueyu Hu, Zhiyuan Liu, Cunchao Tu, and Maosong Sun. 2021 · 2021
Cited alongside, same era.
Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, and Xueqi Cheng. 2022 · 2022
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Overview and Discussion of the Competition on Legal Information Extraction/Entailment (COLIEE) 2021
Juliano Rabelo, Randy Goebel, Mi-Young Kim, Yoshinobu Kano, Masaharu Yoshioka, and Ken Satoh. 2022 · 2022
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Simlm: Pre-training with representation bottleneck for dense passage retrieval
Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, and Furu Wei. 2022 · 2022
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Contextual mask auto-encoder for dense passage retrieval
Xing Wu, Guangyuan Ma, Meng Lin, Zijia Lin, Zhongyuan Wang, and Songlin Hu. 2022 · 2022
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THUIR at the NTCIR-16 WWW-4 Task
Shenghao Yang, Haitao Li, Zhumin Chu, Jingtao Zhan, Yiqun Liu, Min Zhang, and Shaoping Ma. 2022 · 2022
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Enhance Performance of Ad-hoc Search via Prompt Learning. In Information Retrieval: 28th China Conference, CCIR 2022, Chongqing, China, September 16–18, 2022, Revised Selected Papers . Springer, 28–39
Shenghao Yang, Yiqun Liu, Xiaohui Xie, Min Zhang, and Shaoping Ma. 2023 · 2022
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Explainable legal case matching via inverse optimal transport-based rationale extraction. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval . 657–668
Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, and Ji-Rong Wen. 2022 · 2022
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THUIR at WSDM Cup 2023 Task 1: Unbiased Learning to Rank
Jia Chen, Haitao Li, Weihang Su, Qingyao Ai, and Yiqun Liu. [n. d.] · 2023
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Towards Better Web Search Performance: Pre-training, Fine-tuning and Learning to Rank
Haitao Li, Jia Chen, Weihang Su, Qingyao Ai, and Yiqun Liu. 2023 · 2023
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T2Ranking: A large-scale Chinese Benchmark for Passage Ranking
Xiaohui Xie, Qian Dong, Bingning Wang, Feiyang Lv, Ting Yao, Weinan Gan, Zhijing Wu, Xiangsheng Li, Haitao Li, Yiqun Liu, et al · 2023
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