17 citations · 41 across the 18 of their papers we have counts for
16 papers · 1 filter
NOWJ@COLIEE 2026: Adaptive Pipelines for Legal Retrieval and Reasoning
Thuong-Hieu Ngo, Hoang-Trung Nguyen, Huu-Dong Nguyen +5
This paper presents the methodologies and results of the NOWJ team's participation across all five tasks of the COLIEE 2026 competition. For Task 1 (Legal Case Retrieval), we propo…
NOWJ@COLIEE 2025: A Multi-stage Framework Integrating Embedding Models and Large Language Models for Legal Retrieval and Entailment
Hoang-Trung Nguyen, Tan-Minh Nguyen, Xuan-Bach Le +5
This paper presents the methodologies and results of the NOWJ team's participation across all five tasks at the COLIEE 2025 competition, emphasizing advancements in the Legal Case…
VLQA: The First Comprehensive, Large, and High-Quality Vietnamese Dataset for Legal Question Answering
Tan-Minh Nguyen, Hoang-Trung Nguyen, Trong-Khoi Dao +3
The advent of large language models (LLMs) has led to significant achievements in various domains, including legal text processing. Leveraging LLMs for legal tasks is a natural evo…
Exploiting LLMs' Reasoning Capability to Infer Implicit Concepts in Legal Information Retrieval
Hai-Long Nguyen, Tan-Minh Nguyen, Duc-Minh Nguyen +3
Statutory law retrieval is a typical problem in legal language processing, that has various practical applications in law engineering. Modern deep learning-based retrieval methods…
Enhancing Legal Document Retrieval: A Multi-Phase Approach with Large Language Models
Hai-Long Nguyen, Duc-Minh Nguyen, Tan-Minh Nguyen +3
Large language models with billions of parameters, such as GPT-3.5, GPT-4, and LLaMA, are increasingly prevalent. Numerous studies have explored effective prompting techniques to h…
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…
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…
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…
Non-Standard Vietnamese Word Detection and Normalization for Text-to-Speech
Huu-Tien Dang, Thi-Hai-Yen Vuong, Xuan-Hieu Phan
Converting written texts into their spoken forms is an essential problem in any text-to-speech (TTS) systems. However, building an effective text normalization solution for a real-…
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…
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…