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Recommender systems assist legal professionals in finding relevant literature for supporting their case.
RoBERTa: A Robustly Optimized BERT Pretraining Approach
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Beyond accuracy: evaluating recommender systems by coverage and serendipity. In Proceedings of the fourth ACM conference on Recommender systems - RecSys ’10 . ACM Press, New York, New York, USA, 257
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Hyperbolic geometry of complex networks
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Towards a Legal Recommender System. In Frontiers in Artificial Intelligence and Applications , Vol. 271. 169–178
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Poincaré embeddings for learning hierarchical representations
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Don’t Walk, Skip!: Online Learning of Multi-scale Network Embeddings. In Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 . ACM, New York, NY, USA, 258–265
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On the concept of relevance in legal information retrieval
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Attention Is All You Need
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Case Vectors: Spatial Representations of the Law Using Document Embeddings
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Finding Relevant Indian Judgments using Dispersion of Citation Network. In Proceedings of the 24th International Conference on World Wide Web - WWW ’15 Companion . ACM Press, New York, New York, USA, 1085–1088
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Towards reproducibility in recommender-systems research
Joeran Beel, Corinna Breitinger, Stefan Langer, Andreas Lommatzsch, and Bela Gipp. 2016 · 2016
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Eunomos, a legal document and knowledge management system for the Web to provide relevant, reliable and up-to-date information on the law
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Making a cold start in legal recommendation: An experiment
Alexander Boer and Radboud Winkels. 2016 · 2016
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node2vec: Scalable Feature Learning for Networks. In Proc. of the 22nd ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining - KDD ’16 . ACM Press, New York, New York, USA, 855–864
Aditya Grover and Jure Leskovec. 2016 · 2016
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Extending full text search for legal document collections using word embeddings
Jörg Landthaler, Bernhard Waltl, Patrick Holl, and Florian Matthes. 2016 · 2016
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An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation. In Proceedings Workshop on Representation Learning for NLP
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A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
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Scientific paper recommendation: A survey
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proc. of the 2019 Conf. of the NAACL . ACL, Minneapolis, Minnesota, 4171–4186
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Multi-level network embedding with boosted low-rank matrix approximation. In Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining . ACM, New York, NY, USA, 49–56
Jundong Li, Liang Wu, Ruocheng Guo, Chenghao Liu, and Huan Liu. 2019 · 2019
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Unsupervised and supervised text similarity systems for automated identification of national implementing measures of European directives
Rohan Nanda, Giovanni Siragusa, Luigi Di Caro, Guido Boella, Lorenzo Grossio, Marco Gerbaudo, and Francesco Costamagna. 2019 · 2019
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Enriching BERT with Knowledge Graph Embeddings for Document Classification. In Proceedings of the 15th Conference on Natural Language Processing (KONVENS 2019) . GSCL, Erlangen, Germany, 305–312
Malte Ostendorff, Peter Bourgonje, Maria Berger, Julian Moreno-Schneider, Georg Rehm, and Bela Gipp. 2019 · 2019
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Developing and Orchestrating a Portfolio of Natural Legal Language Processing and Document Curation Services. In Proceedings of Workshop on Natural Legal Language Processing (NLLP 2019) , Nikolaos Aletras, Elliott Ash, Leslie Barrett, Daniel Chen, Adam Meyers, Daniel Preotiuc-Pietro, David Rosenberg, and Amanda Stent (Eds.). Minneapolis, USA, 55–66
Georg Rehm, Julian Moreno-Schneider, Jorge Gracia, Artem Revenko, Victor Mireles, Maria Khvalchik, Ilan Kernerman, Andis Lagzdins, Marcis Pinnis, Artus Vasilevskis, Elena Leitner, Jan Milde, and Pia Weißenhorn. 2019 · 2019
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Citation Metrics for Legal Information Retrieval Systems. In BIR@ECIR . 39–50
Gineke Wiggers and Suzan Verberne. 2019 · 2019
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LEGAL-BERT: The Muppets straight out of Law School. In Findings of the Association for Computational Linguistics: EMNLP 2020 . ACL, Stroudsburg, PA, USA, 2898–2904
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A dataset for statutory reasoning in tax law entailment and question answering. In Proceedings of the 2020 Natural Legal Language Processing Workshop . 31–38
Nils Holzenberger, Andrew Blair-Stanek, and Benjamin Van Durme. 2020 · 2020
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Towards an Open Platform for Legal Information. In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020 . ACM, New York, NY, USA, 385–388
Malte Ostendorff, Till Blume, and Saskia Ostendorff. 2020 · 2020
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Legal document similarity: A multicriteria decision-making perspective
Rupali S. Wagh and Deepa Anand. 2020 · 2020
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United States Supreme Court decisions by topic
Wikisource. 2020 · 2020
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