The group of Prof. NGUYEN, Minh Le, Intelligent Robotics Area, achieved the highest performance on Task2 and Task4 of the COLIEE Competition.
The group of Prof. NGUYEN, Minh Le, Intelligent Robotics Area, achieved the highest performance on Task2 and Task4 of the COLIEE Competition 2020.
COLIEE 2020 is the 7th Competition on Legal Information Extraction and Entailment, which includes tasks on both statute law and case law. This competition aims at finding AI techniques for dealing with legal case retrieval problems. COLIEE-2020 is co-located with JURISIN 2020 which focuses on both the fundamental and practical issues among people from various backgrounds such as law, social science, information and intelligent technology, logic, and philosophy, including the conventional "AI and law" area.
Four tasks were included in COLIEE 2020. Participants chose the tasks which they would like to register and submit a paper on their method and experimental results.
The group of Prof. NGUYEN, Minh Le achieved the highest performance on Task2 and Task4.
November 16, 2020
■Team Name and Members
JNLP Group: Ha-Thanh Nguyen , Hai-Yen Thi Vuong, Phuong Minh Nguyen , Binh Tran Dang, Quan Minh Bui, Sinh Trong Vu , Chau Minh Nguyen, Vu Tran, Ken Satoh, and Minh Le Nguyen
■The title of the work
Deep Learning for Legal Processing in COLIEE 2020
■Outline of the method
We propose deep learning-based methods for automatic systems of legal retrieval and legal question-answering in COLIEE 2020. These systems are all characterized by being pre-trained on large amounts of data before being finetuned for the specified tasks. This approach helps to overcome data scarcity and achieve good performance, this can be useful for tackling related problems in information retrieval, and decision support in the legal domain. Besides, the approach can be explored to deal with other domain-specific problems.
December 15, 2020