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20212026
most citedTransformer-based Approaches for Legal Text Processing

17 citations · 41 across the 18 of their papers we have counts for

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7 papers · 1 filter

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.CL2023★ 2 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.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

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…

cs.CL2023

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…

cs.CL2023

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…