activity
20202025
most citedJNLP Team: Deep Learning for Legal Processing in COLIEE 2020

22 citations · 52 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2025

Enhancing Document Retrieval in COVID-19 Research: Leveraging Large Language Models for Hidden Relation Extraction

Hoang-An Trieu, Dinh-Truong Do, Chau Nguyen +2

In recent years, with the appearance of the COVID-19 pandemic, numerous publications relevant to this disease have been issued. Because of the massive volume of publications, an ef…

cs.CL2022★ 13 cited

A Summary of the ALQAC 2021 Competition

Nguyen Ha Thanh, Bui Minh Quan, Chau Nguyen +13

We summarize the evaluation of the first Automated Legal Question Answering Competition (ALQAC 2021). The competition this year contains three tasks, which aims at processing the s…

cs.CL2021★ 8 cited

ParaLaw Nets -- Cross-lingual Sentence-level Pretraining for Legal Text Processing

Ha-Thanh Nguyen, Vu Tran, Phuong Minh Nguyen +6

Ambiguity is a characteristic of natural language, which makes expression ideas flexible. However, in a domain that requires accurate statements, it becomes a barrier. Specifically…

cs.CL2021★ 9 cited

JNLP Team: Deep Learning Approaches for Legal Processing Tasks in COLIEE 2021

Ha-Thanh Nguyen, Phuong Minh Nguyen, Thi-Hai-Yen Vuong +6

COLIEE is an annual competition in automatic computerized legal text processing. Automatic legal document processing is an ambitious goal, and the structure and semantics of the la…

cs.CL2020★ 22 cited

JNLP Team: Deep Learning for Legal Processing in COLIEE 2020

Ha-Thanh Nguyen, Hai-Yen Thi Vuong, Phuong Minh Nguyen +7

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-traine…