SlowGuess/ACL_2020_OCR huggingface dataset:
Alfredo Monroy, Hiram Calvo, and Alexander Gelbukh. 2009. Nlp for shallow question answering of legal documents using graphs. In Proceedings of CICLing. Springer.
Alfredo López Monroy, Hiram Calvo, Alexander Gelbukh, and Georgina García Pacheco. 2013. Link analysis for representing and retrieving legal information. In Proceedings of CICling, pages 380-393. Springer.
Stuart S Nagel. 1963. Applying correlation analysis to case prediction. *Texas Law Review*, 42:1006.
John J. Nay. 2016. Gov2Vec: Learning distributed representations of institutions and their legal text. In Proceedings of the First Workshop on NLP and Computational Social Science.
Thien Huu Nguyen, Kyunghyun Cho, and Ralph Grishman. 2016. Joint event extraction via recurrent neural networks. In Proceedings of NAACL.
Thien Huu Nguyen and Ralph Grishman. 2018. Graph convolutional networks with argument-aware pooling for event detection. In Proceedings of AAAI.
Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, and Rabab Ward. 2016. Deep sentence embedding using long short-term memory networks: Analysis and application to information retrieval. IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), 24(4).
Sicheng Pan, Tun Lu, Ning Gu, Huajuan Zhang, and Chunlin Xu. 2019. Charge prediction for multi-defendant cases with multi-scale attention. In CCF Conference on Computer Supported Cooperative Work and Social Computing. Springer.
Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014. Glove: Global vectors for word representation. In Proceedings of EMNLP, pages 1532-1543.
Matthew E Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018. Deep contextualized word representations. arXiv preprint arXiv:1802.05365.
Matthew E Peters, Mark Neumann, Robert Logan, Roy Schwartz, Vidur Joshi, Sameer Singh, and Noah A Smith. 2019. Knowledge enhanced contextual word representations. In Proceedings of EMNLP-IJCNLP.
Xipeng Qiu and Xuanjing Huang. 2015. Convolutional neural tensor network architecture for community-based question answering. In Proceedings of IJCAI.
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019. Language models are unsupervised multitask learners. OpenAI Blog, 1(8).
K Raghav, P Krishna Reddy, and V Balakista Reddy. 2016. Analyzing the extraction of relevant legal judgments using paragraph-level and citation information. AI4JCArtificial Intelligence for Justice, page 30.
Pranav Rajpurkar, Robin Jia, and Percy Liang. 2018. Know what you don't know: Unanswerable questions for SQuAD. In Proceedings of ACL.
Steffen Rendle. 2010. Factorization machines. In Proceedings of ICDM. IEEE.
Stephen E Robertson and Steve Walker. 1994. Some simple effective approximations to the 2-poisson model for probabilistic weighted retrieval. In Proceedings of SIGIR.
Gerard Salton and Christopher Buckley. 1988. Termweighting approaches in automatic text retrieval. Information processing & management.
Jeffrey A Segal. 1984. Predicting supreme court cases probabilistically: The search and seizure cases, 1962-1981. American Political Science Review, 78(4):891-900.
Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, and Hannaneh Hajishirzi. 2016. Bidirectional attention flow for machine comprehension. arXiv preprint arXiv:1611.01603.
Yelong Shen, Xiaodong He, Jianfeng Gao, Li Deng, and Gregoire Mesnil. 2014. A latent semantic model with convolutional-pooling structure for information retrieval. In Proceedings of CIKM. ACM.
Yi Shu, Yao Zhao, Xianghui Zeng, and Qingli Ma. 2019. Cail2019-fe. Technical report, Gridsum.
Keet Sugathadasa, Buddhist Ayesha, Nisansa de Silva, Amal Shehan Perera, Vindula Jayawardana, Dimuthu Lakmal, and Madhavi Perera. 2018. Legal document retrieval using document vector embeddings and deep learning. In Proceedings of SAI. Springer.
Harry Surden. 2018. Artificial intelligence and law: An overview. Ga. St. UL Rev.
Ryosuke Taniguchi and Yoshinobu Kano. 2016. Legal yes/no question answering system using case-role analysis. In Proceedings of JSAI, pages 284-298. Springer.
Oanh Thi Tran, Bach Xuan Ngo, Minh Le Nguyen, and Akira Shimazu. 2013. Answering legal questions by mining reference information. In Proceedings of JSAI. Springer.
Vu Tran, Minh Le Nguyen, and Ken Satoh. 2019. Building legal case retrieval systems with lexical matching and summarization using a pre-trained phrase scoring model. In Proceedings of Artificial Intelligence and Law. ACM.
Maarten Truyens and Patrick Van Eecke. 2014. Legal aspects of text mining. In Proceedings of LREC.
Howard Turtle. 1995. Text retrieval in the legal world. Artificial Intelligence and Law, 3(1-2).
S Sidney Ulmer. 1963. Quantitative analysis of judicial processes: Some practical and theoretical applications. Law and Contemporary Problems, 28:164.
Thomas Vacek, Ronald Teo, Dezhao Song, Timothy Nugent, Conner Cowling, and Frank Schilder. 2019. Litigation analytics: Case outcomes extracted from US federal court dockets. In Proceedings of NLLP Workshop.
Tom Vacek and Frank Schilder. 2017. A sequence approach to case outcome detection. In Proceedings of Artificial Intelligence and Law, pages 209-215. ACM.
Marc Van Opijnen and Cristiana Santos. 2017. On the concept of relevance in legal information retrieval. Artificial Intelligence and Law, 25(1).
Hui Wang, Tieke He, Zhipeng Zou, Siyuan Shen, and Yu Li. 2019. Using case facts to predict accusation based on deep learning. In Proceedings of QRS-C, pages 133-137. IEEE.
Shuohang Wang, Mo Yu, Jing Jiang, and Shiyu Chang. 2018. A co-matching model for multi-choice reading comprehension. In Proceedings of ACL.
Wei Wu, Hang Li, and Jun Xu. 2013. Learning query and document similarities from click-through bipartite graph with metadata. In Proceedings of WSDM. ACM.
Chaojun Xiao, Haoxi Zhong, Zhipeng Guo, Cunchao Tu, Zhiyuan Liu, Maosong Sun, Yansong Feng, Xianpei Han, Zhen Hu, Heng Wang, et al. 2018. Cail2018: A large-scale legal dataset for judgment prediction. arXiv preprint arXiv:1807.02478.
Chaojun Xiao, Haoxi Zhong, Zhipeng Guo, Cunchao Tu, Zhiyuan Liu, Maosong Sun, Tianyang Zhang, Xianpei Han, Heng Wang, Jianfeng Xu, et al. 2019. Cail2019-scm: A dataset of similar case matching in legal domain. arXiv preprint arXiv:1911.08962.
Jun Xu, Hang Li, and Chaoliang Zhong. 2010. Relevance ranking using kernels. In Proceedings of AIRS. Springer.
Yukun Yan, Daqi Zheng, Zhengdong Lu, and Sen Song. 2017. Event identification as a decision process with non-linear representation of text. arXiv preprint arXiv:1710.00969.
Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. 2014. Embedding entities and relations for learning and inference in knowledge bases. arXiv preprint arXiv:1412.6575.
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Ruslan Salakhutdinov, and Quoc V Le. 2019. Xlnet: Generalized autoregressive pretraining for language understanding. arXiv preprint arXiv:1906.08237.
Hai Ye, Xin Jiang, Zhunchen Luo, and Wenhan Chao. 2018. Interpretable charge predictions for criminal cases: Learning to generate court views from fact descriptions. In Proceedings of NAACL.
Wenpeng Yin, Hinrich Schütze, Bing Xiang, and Bowen Zhou. 2016. ABCNN: Attention-based convolutional neural network for modeling sentence pairs. Transactions of the Association for Computational Linguistics.
Xiaoxiao Yin, Daqi Zheng, Zhengdong Lu, and Ruifang Liu. 2018. Neural entity reasoner for global consistency in ner. arXiv preprint arXiv:1810.00347.
Daojian Zeng, Kang Liu, Yubo Chen, and Jun Zhao. 2015. Distant supervision for relation extraction via piecewise convolutional neural networks. In Proceedings of EMNLP.
Ni Zhang, Yi-Fei Pu, Sui-Quan Yang, Ji-Liu Zhou, and Jin-Kang Gao. 2017. An ontological chinese legal consultation system. IEEE Access, 5:18250-18261.
Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, and Qun Liu. 2019. ERNIE: Enhanced language representation with informative entities. In Proceedings of ACL.
Haoxi Zhong, Zhipeng Guo, Cunchao Tu, Chaojun Xiao, Zhiyuan Liu, and Maosong Sun. 2018. Legal judgment prediction via topological learning. In Proceedings of EMNLP.
Haoxi Zhong, Yuzhong Wang, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, and Maosong Sun. 2020. Iteratively questioning and answering for interpretable legal judgment prediction. In Proceedings of AAAI.
Haoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, and Maosong Sun. 2019a. Jec-qa: A legal-domain question answering dataset. arXiv preprint arXiv:1911.12011.
Haoxi Zhong, Zhengyan Zhang, Zhiyuan Liu, and Maosong Sun. 2019b. Open chinese language pretrained model zoo. Technical report, Technical Report. Technical Report.
Haichao Zhu, Furu Wei, Bing Qin, and Ting Liu. 2018. Hierarchical attention flow for multiple-choice reading comprehension. In Proceedings of AAAI.