In this study, we present a novel and challenging multilabel Vietnamese
...
This paper describes the NOWJ1 Team's approach for the Automated Legal
Q...
This paper presents a knowledge graph construction method for legal case...
The evolution of Generative Pre-trained Transformer (GPT) models has led...
In recent years, natural language processing has gained significant
popu...
Negation is a fundamental aspect of natural language, playing a critical...
Logic programming has long being advocated for legal reasoning, and seve...
This paper presents the NOWJ team's approach to the COLIEE 2023 Competit...
Question answering (QA) in law is a challenging problem because legal
do...
We examine how well the state-of-the-art (SOTA) models used in legal
rea...
Multi-document summarization is challenging because the summaries should...
LawGPT 1.0 is a virtual legal assistant built on the state-of-the-art
la...
Knowledge representation and reasoning in law are essential to facilitat...
Legal text retrieval serves as a key component in a wide range of legal ...
The trade-off of secrecy is the difficulty of verification. This trade-o...
This study deals with the problem of information retrieval (IR) for
Viet...
In recent years, thanks to breakthroughs in neural network techniques
es...
In this paper, we introduce our approaches using Transformer-based model...
Spelling error correction is one of topics which have a long history in
...
Attention is all we need as long as we have enough data. Even so, it is
...
COLIEE is an annual competition in automatic computerized legal text
pro...
Ambiguity is a characteristic of natural language, which makes expressio...
Legal English is a sublanguage that is important for everyone but not fo...
Deep learning is a powerful approach with good performance on many diffe...
We propose deep learning based methods for automatic systems of legal
re...