44 citations · 155 across the 26 of their papers we have counts for
26 papers
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…
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…
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…
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…
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…
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…
Beyond Logic Programming for Legal Reasoning
Ha-Thanh Nguyen, Francesca Toni, Kostas Stathis +1
Logic programming has long being advocated for legal reasoning, and several approaches have been put forward relying upon explicit representation of the law in logic programming te…
NOWJ at COLIEE 2023 -- Multi-Task and Ensemble Approaches in Legal Information Processing
Thi-Hai-Yen Vuong, Hai-Long Nguyen, Tan-Minh Nguyen +3
This paper presents the NOWJ team's approach to the COLIEE 2023 Competition, which focuses on advancing legal information processing techniques and applying them to real-world lega…
Improving Vietnamese Legal Question--Answering System based on Automatic Data Enrichment
Thi-Hai-Yen Vuong, Ha-Thanh Nguyen, Quang-Huy Nguyen +2
Question answering (QA) in law is a challenging problem because legal documents are much more complicated than normal texts in terms of terminology, structure, and temporal and log…
LBMT team at VLSP2022-Abmusu: Hybrid method with text correlation and generative models for Vietnamese multi-document summarization
Tan-Minh Nguyen, Thai-Binh Nguyen, Hoang-Trung Nguyen +4
Multi-document summarization is challenging because the summaries should not only describe the most important information from all documents but also provide a coherent interpretat…
How well do SOTA legal reasoning models support abductive reasoning?
Ha-Thanh Nguyen, Randy Goebel, Francesca Toni +2
We examine how well the state-of-the-art (SOTA) models used in legal reasoning support abductive reasoning tasks. Abductive reasoning is a form of logical inference in which a hypo…
A Brief Report on LawGPT 1.0: A Virtual Legal Assistant Based on GPT-3
Ha-Thanh Nguyen
LawGPT 1.0 is a virtual legal assistant built on the state-of-the-art language model GPT-3, fine-tuned for the legal domain. The system is designed to provide legal assistance to u…
Law to Binary Tree -- An Formal Interpretation of Legal Natural Language
Ha-Thanh Nguyen, Vu Tran, Ngoc-Cam Le +4
Knowledge representation and reasoning in law are essential to facilitate the automation of legal analysis and decision-making tasks. In this paper, we propose a new approach based…
Attentive Deep Neural Networks for Legal Document Retrieval
Ha-Thanh Nguyen, Manh-Kien Phi, Xuan-Bach Ngo +3
Legal text retrieval serves as a key component in a wide range of legal text processing tasks such as legal question answering, legal case entailment, and statute law retrieval. Th…
Secrecy-Verifiability Paradox in Smart Contracts
Ha-Thanh Nguyen
The trade-off of secrecy is the difficulty of verification. This trade-off means that contracts must be kept private, yet their compliance needs to be verified, which we call the s…
Multi-stage Information Retrieval for Vietnamese Legal Texts
Nhat-Minh Pham, Ha-Thanh Nguyen, Trong-Hop Do
This study deals with the problem of information retrieval (IR) for Vietnamese legal texts. Despite being well researched in many languages, information retrieval has still not rec…
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…
Toward Improving Attentive Neural Networks in Legal Text Processing
Ha-Thanh Nguyen
In recent years, thanks to breakthroughs in neural network techniques especially attentive deep learning models, natural language processing has made many impressive achievements.…
Transformer-based Approaches for Legal Text Processing
Ha-Thanh Nguyen, Minh-Phuong Nguyen, Thi-Hai-Yen Vuong +6
In this paper, we introduce our approaches using Transformer-based models for different problems of the COLIEE 2021 automatic legal text processing competition. Automated processin…
VSEC: Transformer-based Model for Vietnamese Spelling Correction
Dinh-Truong Do, Ha Thanh Nguyen, Thang Ngoc Bui +1
Spelling error correction is one of topics which have a long history in natural language processing. Although previous studies have achieved remarkable results, challenges still ex…
HYDRA -- Hyper Dependency Representation Attentions
Ha-Thanh Nguyen, Vu Tran, Tran-Binh Dang +3
Attention is all we need as long as we have enough data. Even so, it is sometimes not easy to determine how much data is enough while the models are becoming larger and larger. In…
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…
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…
Sublanguage: A Serious Issue Affects Pretrained Models in Legal Domain
Ha-Thanh Nguyen, Le-Minh Nguyen
Legal English is a sublanguage that is important for everyone but not for everyone to understand. Pretrained models have become best practices among current deep learning approache…