IITP@COLIEE 2019: Legal Information Retrieval using BM25 and BERT
Government College of Engineering and Textile Technology, Berhampore（贝汉布尔政府工程与纺织技术学院）；Indian Institute of Technology, Patna（印度理工学院巴特那分校）
Baban Gain, Dibyanayan Bandyopadhyay, Tanik Saikh, Asif Ekbal
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5 pages. IITP@ COLIEE 2019: legal information retrieval using BM25 and BERT. Proceedings of the 6th Competition on Legal Information Extraction/Entailment. COLIEE
Natural Language Processing (NLP) and Information Retrieval (IR) in the judicial domain is an essential task. With the advent of availability domain-specific data in electronic form and aid of different Artificial intelligence (AI) technologies, automated language processing becomes more comfortable, and hence it becomes feasible for researchers and developers to provide various automated tools to the legal community to reduce human burden. The Competition on Legal Information Extraction/Entailment (COLIEE-2019) run in association with the International Conference on Artificial Intelligence and Law (ICAIL)-2019 has come up with few challenging tasks. The shared defined four sub-tasks (i.e. Task1, Task2, Task3 and Task4), which will be able to provide few automated systems to the judicial system. The paper presents our working note on the experiments carried out as a part of our participation in all the sub-tasks defined in this shared task. We make use of different Information Retrieval(IR) and deep learning based approaches to tackle these problems. We obtain encouraging results in all these four sub-tasks.
JNLP Team: Deep Learning for Legal Processing in COLIEE 2020
Japan Advanced Institute of Science and Technology（北陆先端科学技术大学院大学）；VNU University of Engineering and Technology（河内国家大学工程技术大学）；Banking Academy of Vietnam（越南银行学院）；National Institute of Informatics（国立信息学研究所）
JNLP Team: Deep Learning Approaches for Legal Processing Tasks in COLIEE 2021
Japan Advanced Institute of Science and Technology（日本先端科学技术大学院大学）；University of Engineering and Technology, VNU（越南国立大学工程技术大学）；National Institute of Informatics（国立情报学研究所）
NOWJ@COLIEE 2025: A Multi-stage Framework Integrating Embedding Models and Large Language Models for Legal Retrieval and Entailment
VNU University of Engineering and Technology（越南工程大学）；Japan Advanced Institute of Science and Technology（日本先进科学研究院）；Center for Juris-Informatics, ROIS-DS（法律信息中心，ROIS-DS）；Research and Development Center for Large Language Models, NII（大型语言模型研发中心，NII）
Attentive Deep Neural Networks for Legal Document Retrieval
Japan Advanced Institute of Science and Technology（日本北陆先端科学技术大学院大学）；National Institute of Informatics（日本国立信息学研究所）；Posts and Telecommunications Institute of Technology（邮电技术学院）
NOWJ@COLIEE 2026: Adaptive Pipelines for Legal Retrieval and Reasoning
VNU University of Engineering and Technology（越南国立工程技术大学）；Center for Juris-Informatics, ROIS-DS College of Engineering & Computer Science, VinUniversity（越南Vin大学工程与计算机科学学院法律信息学中心）
ParaLaw Nets -- Cross-lingual Sentence-level Pretraining for Legal Text Processing
Japan Advanced Institute of Science and Technology（日本北陆先端科学技术大学院大学）；University of Engineering and Technology, VNU（越南国立大学工程技术大学）；National Institute of Informatics（国立信息学研究所）
Transformer-based Approaches for Legal Text Processing
Japan Advanced Institute of Science and Technology（日本先进科学技术学院）；Institute of Statistical Mathematics（统计数学研究所）；University of Engineering and Technology, VNU（越南国立大学工程技术学院）；National Institute of Informatics（日本国立信息学研究所）
