ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation
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Arnab Bhattacharya | Ashutosh Modi | Vijit Malik | Shubham Kumar Nigam | Rishabh Sanjay | Kripa Ghosh | Shouvik Kumar Guha | Vijit Malik | Kripabandhu Ghosh | Arnab Bhattacharya | S. Guha | S. Nigam | Ashutosh Modi | Rishabh Sanjay
[1] Kripabandhu Ghosh,et al. A Comparative Study of Summarization Algorithms Applied to Legal Case Judgments , 2019, ECIR.
[2] Dongyan Zhao,et al. Learning to Predict Charges for Criminal Cases with Legal Basis , 2017, EMNLP.
[3] Yiming Yang,et al. XLNet: Generalized Autoregressive Pretraining for Language Understanding , 2019, NeurIPS.
[4] Yoon Kim,et al. Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.
[5] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[6] Carlos Guestrin,et al. Anchors: High-Precision Model-Agnostic Explanations , 2018, AAAI.
[7] Iryna Gurevych,et al. A Web-based Tool for the Integrated Annotation of Semantic and Syntactic Structures , 2016, LT4DH@COLING.
[8] Kripabandhu Ghosh,et al. Identification of Rhetorical Roles of Sentences in Indian Legal Judgments , 2019, JURIX.
[9] Zhiyuan Liu,et al. Legal Judgment Prediction via Topological Learning , 2018, EMNLP.
[10] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[11] Minh Le Nguyen,et al. Building Legal Case Retrieval Systems with Lexical Matching and Summarization using A Pre-Trained Phrase Scoring Model , 2019, ICAIL.
[12] Ion Androutsopoulos,et al. Neural Legal Judgment Prediction in English , 2019, ACL.
[13] Josef van Genabith,et al. Predicting the Law Area and Decisions of French Supreme Court Cases , 2017, RANLP.
[14] Rob Fergus,et al. Visualizing and Understanding Convolutional Networks , 2013, ECCV.
[15] Ashutosh Modi,et al. Topic Spotting using Hierarchical Networks with Self Attention , 2019, NAACL.
[16] Daniel Jurafsky,et al. Understanding Neural Networks through Representation Erasure , 2016, ArXiv.
[17] Marcel van Gerven,et al. Explainable Deep Learning: A Field Guide for the Uninitiated , 2020, J. Artif. Intell. Res..
[18] D. Katz,et al. A general approach for predicting the behavior of the Supreme Court of the United States , 2016, PloS one.
[19] Matteo Pagliardini,et al. Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram Features , 2017, NAACL.
[20] Ion Androutsopoulos,et al. LEGAL-BERT: “Preparing the Muppets for Court’” , 2020, FINDINGS.
[21] Nikolaos Aletras,et al. Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective , 2016, PeerJ Comput. Sci..
[22] Thomas Wolf,et al. DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter , 2019, ArXiv.
[23] Pengfei Wang,et al. Hierarchical Matching Network for Crime Classification , 2019, SIGIR.
[24] Lukasz Kaiser,et al. Reformer: The Efficient Transformer , 2020, ICLR.
[25] Lysandre Debut,et al. HuggingFace's Transformers: State-of-the-art Natural Language Processing , 2019, ArXiv.
[26] Quoc V. Le,et al. Distributed Representations of Sentences and Documents , 2014, ICML.
[27] Alexander Binder,et al. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation , 2015, PloS one.
[28] Achim G. Hoffmann,et al. Towards Automatic Generation of Catchphrases for Legal Case Reports , 2012, CICLing.
[29] Weijia Jia,et al. Legal Judgment Prediction via Multi-Perspective Bi-Feedback Network , 2019, IJCAI.
[30] Omer Levy,et al. RoBERTa: A Robustly Optimized BERT Pretraining Approach , 2019, ArXiv.
[31] Byron C. Wallace,et al. Attention is not Explanation , 2019, NAACL.
[32] Zhiyuan Liu,et al. CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction , 2018, ArXiv.
[33] Alon Lavie,et al. METEOR: An Automatic Metric for MT Evaluation with High Levels of Correlation with Human Judgments , 2007, WMT@ACL.
[34] Kripabandhu Ghosh,et al. Automatic Catchphrase Identification from Legal Court Case Documents , 2017, CIKM.
[35] Carlos Guestrin,et al. "Why Should I Trust You?": Explaining the Predictions of Any Classifier , 2016, ArXiv.
[36] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[37] Chin-Yew Lin,et al. ROUGE: A Package for Automatic Evaluation of Summaries , 2004, ACL 2004.
[38] Maosong Sun,et al. Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction , 2020, AAAI.
[39] Ankur Taly,et al. Axiomatic Attribution for Deep Networks , 2017, ICML.
[40] Diyi Yang,et al. Hierarchical Attention Networks for Document Classification , 2016, NAACL.
[41] Xin Jiang,et al. Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions , 2018, NAACL.
[42] Arman Cohan,et al. Longformer: The Long-Document Transformer , 2020, ArXiv.
[43] Xiaoyan Wang,et al. Distinguish Confusing Law Articles for Legal Judgment Prediction , 2020, ACL.
[44] Zhiyuan Liu,et al. Few-Shot Charge Prediction with Discriminative Legal Attributes , 2018, COLING.
[45] Beatriz de la Iglesia,et al. Legal Judgement Prediction for UK Courts , 2020, ICISS.
[46] Avanti Shrikumar,et al. Learning Important Features Through Propagating Activation Differences , 2017, ICML.
[47] Steven Bird,et al. NLTK: The Natural Language Toolkit , 2002, ACL.
[48] J. Fleiss. Measuring nominal scale agreement among many raters. , 1971 .
[49] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[50] Zhiyuan Liu,et al. Automatic Judgment Prediction via Legal Reading Comprehension , 2018, CCL.
[51] Deng Cai,et al. Charge-Based Prison Term Prediction with Deep Gating Network , 2019, EMNLP.
[52] Khalid Al-Kofahi,et al. Information extraction from case law and retrieval of prior cases , 2003, Artif. Intell..
[53] Salim Roukos,et al. Bleu: a Method for Automatic Evaluation of Machine Translation , 2002, ACL.
[54] Xin Jiang,et al. Interpretable Rationale Augmented Charge Prediction System , 2018, COLING.