no code implementations • 1 May 2024 • Hong-Nhung Nguyen, Ha-Thanh Nguyen, Damien Lescos
Computing is still under a significant threat from ransomware, which necessitates prompt action to prevent it.
no code implementations • 26 Mar 2024 • Hai-Long Nguyen, Duc-Minh Nguyen, Tan-Minh Nguyen, Ha-Thanh Nguyen, Thi-Hai-Yen Vuong, Ken Satoh
Large language models with billions of parameters, such as GPT-3. 5, GPT-4, and LLaMA, are increasingly prevalent.
no code implementations • 26 Mar 2024 • Ha-Thanh Nguyen, Hiroaki Yamada, Ken Satoh
In this paper, we explore the application of Generative Pre-trained Transformers (GPTs) in cross-lingual legal Question-Answering (QA) systems using the COLIEE Task 4 dataset.
no code implementations • 6 Mar 2024 • Vu Tran, Ha-Thanh Nguyen, Trung Vo, Son T. Luu, Hoang-Anh Dang, Ngoc-Cam Le, Thi-Thuy Le, Minh-Tien Nguyen, Truong-Son Nguyen, Le-Minh Nguyen
In this new era of rapid AI development, especially in language processing, the demand for AI in the legal domain is increasingly critical.
no code implementations • 2 Mar 2024 • Ha-Thanh Nguyen, Ken Satoh
Finetuning approaches in NLP often focus on exploitation rather than exploration, which may lead to suboptimal models.
no code implementations • 13 Dec 2023 • Minh Duong, Long Nguyen, Yen Vuong, Trong Le, Ha-Thanh Nguyen
This paper presents a deep learning-based system for efficient automatic case summarization.
no code implementations • 22 Nov 2023 • Ha-Thanh Nguyen, Wachara Fungwacharakorn, Ken Satoh
Language serves as a vehicle for conveying thought, enabling communication among individuals.
no code implementations • 16 Sep 2023 • Tan-Minh Nguyen, Xuan-Hoa Nguyen, Ngoc-Duy Mai, Minh-Quan Hoang, Van-Huan Nguyen, Hoang-Viet Nguyen, Ha-Thanh Nguyen, Thi-Hai-Yen Vuong
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 classical statistical models and Pre-trained Language Models (PLMs).
no code implementations • 16 Sep 2023 • Thi-Hai-Yen Vuong, Minh-Quan Hoang, Tan-Minh Nguyen, Hoang-Trung Nguyen, Ha-Thanh Nguyen
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 tasks.
no code implementations • 16 Sep 2023 • Hai-Long Nguyen, Thi-Kieu-Trang Pham, Thai-Son Le, Tan-Minh Nguyen, Thi-Hai-Yen Vuong, Ha-Thanh Nguyen
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 information related to legal contexts, focusing on fake news as potential input for electronic evidence.
no code implementations • 11 Sep 2023 • Ha-Thanh Nguyen, Randy Goebel, Francesca Toni, Kostas Stathis, Ken Satoh
The evolution of Generative Pre-trained Transformer (GPT) models has led to significant advancements in various natural language processing applications, particularly in legal textual entailment.
no code implementations • 11 Sep 2023 • Hai-Long Nguyen, Dieu-Quynh Nguyen, Hoang-Trung Nguyen, Thu-Trang Pham, Huu-Dong Nguyen, Thach-Anh Nguyen, Thi-Hai-Yen Vuong, Ha-Thanh Nguyen
In recent years, natural language processing has gained significant popularity in various sectors, including the legal domain.
no code implementations • 8 Jun 2023 • Thi-Hai-Yen Vuong, Hai-Long Nguyen, Tan-Minh Nguyen, Hoang-Trung Nguyen, Thai-Binh Nguyen, Ha-Thanh Nguyen
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 legal scenarios.
no code implementations • 8 Jun 2023 • Thi-Hai-Yen Vuong, Ha-Thanh Nguyen, Quang-Huy Nguyen, Le-Minh Nguyen, Xuan-Hieu Phan
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 logical relationships.
no code implementations • 11 Apr 2023 • Tan-Minh Nguyen, Thai-Binh Nguyen, Hoang-Trung Nguyen, Hai-Long Nguyen, Tam Doan Thanh, Ha-Thanh Nguyen, Thi-Hai-Yen Vuong
Multi-document summarization is challenging because the summaries should not only describe the most important information from all documents but also provide a coherent interpretation of the documents.
no code implementations • 11 Feb 2023 • 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.
no code implementations • 16 Dec 2022 • Ha-Thanh Nguyen, Vu Tran, Ngoc-Cam Le, Thi-Thuy Le, Quang-Huy Nguyen, Le-Minh Nguyen, Ken Satoh
First, legal reasoning can be performed on the basis of the binary tree representation of the regulations.
no code implementations • 13 Dec 2022 • Ha-Thanh Nguyen, Manh-Kien Phi, Xuan-Bach Ngo, Vu Tran, Le-Minh Nguyen, Minh-Phuong Tu
The performance of legal text retrieval depends, to a large extent, on the representation of text, both query and legal documents.
no code implementations • 29 Sep 2022 • Nhat-Minh Pham, Ha-Thanh Nguyen, Trong-Hop Do
This study deals with the problem of information retrieval (IR) for Vietnamese legal texts.
no code implementations • 15 Mar 2022 • Ha-Thanh Nguyen
In this dissertation, we selectively present the main achievements in improving attentive neural networks in automatic legal document processing.
no code implementations • 13 Feb 2022 • Ha-Thanh Nguyen, Minh-Phuong Nguyen, Thi-Hai-Yen Vuong, Minh-Quan Bui, Minh-Chau Nguyen, Tran-Binh Dang, Vu Tran, Le-Minh Nguyen, Ken Satoh
In this paper, we introduce our approaches using Transformer-based models for different problems of the COLIEE 2021 automatic legal text processing competition.
no code implementations • 11 Sep 2021 • Ha-Thanh Nguyen, Vu Tran, Tran-Binh Dang, Minh-Quan Bui, Minh-Phuong Nguyen, Le-Minh Nguyen
Attention is all we need as long as we have enough data.
no code implementations • 25 Jun 2021 • Ha-Thanh Nguyen, Phuong Minh Nguyen, Thi-Hai-Yen Vuong, Quan Minh Bui, Chau Minh Nguyen, Binh Tran Dang, Vu Tran, Minh Le Nguyen, Ken Satoh
COLIEE is an annual competition in automatic computerized legal text processing.
no code implementations • 25 Jun 2021 • Ha-Thanh Nguyen, Vu Tran, Phuong Minh Nguyen, Thi-Hai-Yen Vuong, Quan Minh Bui, Chau Minh Nguyen, Binh Tran Dang, Minh Le Nguyen, Ken Satoh
Ambiguity is a characteristic of natural language, which makes expression ideas flexible.
no code implementations • 15 Apr 2021 • Ha-Thanh Nguyen, Le-Minh Nguyen
Legal English is a sublanguage that is important for everyone but not for everyone to understand.
no code implementations • 8 Mar 2021 • Ha-Thanh Nguyen, Le-Minh Nguyen
Deep learning is a powerful approach with good performance on many different tasks.
no code implementations • COLING 2020 • Phi Manh Kien, Ha-Thanh Nguyen, Ngo Xuan Bach, Vu Tran, Minh Le Nguyen, Tu Minh Phuong
We present a retrieval-based model for the task by learning neural attentive text representation.
1 code implementation • 4 Nov 2020 • 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, Minh Le Nguyen
We propose deep learning based methods for automatic systems of legal retrieval and legal question-answering in COLIEE 2020.