activity
20202023
most citedJNLP Team: Deep Learning for Legal Processing in COLIEE 2020

22 citations · 76 across the 15 of their papers we have counts for

collaborators

18 papers

cs.CL2023

RMDM: A Multilabel Fakenews Dataset for Vietnamese Evidence Verification

Hai-Long Nguyen, Thi-Kieu-Trang Pham, Thai-Son Le +3

In this study, we present a novel and challenging multilabel Vietnamese dataset (RMDM) designed to assess the performance of large language models (LLMs), in verifying electronic i…

cs.CL20232 cited

NOWJ1@ALQAC 2023: Enhancing Legal Task Performance with Classic Statistical Models and Pre-trained Language Models

Tan-Minh Nguyen, Xuan-Hoa Nguyen, Ngoc-Duy Mai +5

This paper describes the NOWJ1 Team's approach for the Automated Legal Question Answering Competition (ALQAC) 2023, which focuses on enhancing legal task performance by integrating…

cs.CL2023

Constructing a Knowledge Graph for Vietnamese Legal Cases with Heterogeneous Graphs

Thi-Hai-Yen Vuong, Minh-Quan Hoang, Tan-Minh Nguyen +2

This paper presents a knowledge graph construction method for legal case documents and related laws, aiming to organize legal information efficiently and enhance various downstream…

cs.CL20233 cited

Black-Box Analysis: GPTs Across Time in Legal Textual Entailment Task

Ha-Thanh Nguyen, Randy Goebel, Francesca Toni +2

The evolution of Generative Pre-trained Transformer (GPT) models has led to significant advancements in various natural language processing applications, particularly in legal text…

cs.CL2023

NeCo@ALQAC 2023: Legal Domain Knowledge Acquisition for Low-Resource Languages through Data Enrichment

Hai-Long Nguyen, Dieu-Quynh Nguyen, Hoang-Trung Nguyen +5

In recent years, natural language processing has gained significant popularity in various sectors, including the legal domain. This paper presents NeCo Team's solutions to the Viet…

cs.CL2023

A negation detection assessment of GPTs: analysis with the xNot360 dataset

Ha Thanh Nguyen, Randy Goebel, Francesca Toni +2

Negation is a fundamental aspect of natural language, playing a critical role in communication and comprehension. Our study assesses the negation detection performance of Generativ…