We present our method for tackling a legal case retrieval task by introd...
The evolution of Generative Pre-trained Transformer (GPT) models has led...
Negation is a fundamental aspect of natural language, playing a critical...
Logic programming has long being advocated for legal reasoning, and seve...
This volume contains the papers presented at LN2FR 2022: The Internation...
We examine how well the state-of-the-art (SOTA) models used in legal
rea...
Knowledge representation and reasoning in law are essential to facilitat...
In this paper, we introduce our approaches using Transformer-based model...
COLIEE is an annual competition in automatic computerized legal text
pro...
Ambiguity is a characteristic of natural language, which makes expressio...
We propose deep learning based methods for automatic systems of legal
re...
We present our method for tackling the legal case retrieval task of the
...
In this paper, we present a method of automatic catchphrase extracting f...
Convolutional neural networks (CNN) have recently achieved remarkable
pe...
The act of persuasion, a key component in rhetoric argumentation, may be...
In the real world, robots with embodiment face various issues such as dy...
In this paper we propose a use-case-driven iterative design methodology ...
This paper presents a method of computing a revision of a function-free
...
In this paper, we consider a method of computing minimal models in
circu...