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 • 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 • 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 • 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 • 15 Sep 2023 • Vu Tran, Minh Le Nguyen, Satoshi Tojo, Ken Satoh
We present our method for tackling a legal case retrieval task by introducing our method of encoding documents by summarizing them into continuous vector space via our phrase scoring framework utilizing deep neural networks.
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 • 29 Jun 2023 • Ha Thanh Nguyen, Randy Goebel, Francesca Toni, Kostas Stathis, Ken Satoh
Negation is a fundamental aspect of natural language, playing a critical role in communication and comprehension.
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 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 • 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 • 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 • EACL 2021 • Vu Tran, Van-Hien Tran, Phuong Nguyen, Chau Nguyen, Ken Satoh, Yuji Matsumoto, Minh Nguyen
This paper presents CovRelex, a scientific paper retrieval system targeting entities and relations via relation extraction on COVID-19 scientific papers.
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.
no code implementations • 29 Sep 2020 • Vu Tran, Minh Le Nguyen, Ken Satoh
On one hand, we adopt a summarization based model called encoded summarization which encodes a given document into continuous vector space which embeds the summary properties of the document.
no code implementations • 14 Sep 2018 • Vu Tran, Minh Le Nguyen, Ken Satoh
In this paper, we present a method of automatic catchphrase extracting from legal case documents.
1 code implementation • 16 Nov 2017 • Lai Dac Viet, Vu Trong Sinh, Nguyen Le Minh, Ken Satoh
Convolutional neural networks (CNN) have recently achieved remarkable performance in a wide range of applications.
no code implementations • 29 May 2017 • Ryuta Arisaka, Ken Satoh
The act of persuasion, a key component in rhetoric argumentation, may be viewed as a dynamics modifier.
no code implementations • 2 May 2016 • Ryuta Arisaka, Ken Satoh
As is also commonly understood, however, a coalition may deliver benefits to a group X at the sacrifice of something that X was able to do before coalition formation, which X may be no longer able to do under the coalition.
no code implementations • 26 Jul 2013 • Megumi Fujita, Yuki Goto, Naoyuki Nide, Ken Satoh, Hiroshi Hosobe
In the real world, robots with embodiment face various issues such as dynamic continuous changes of the environment and input/output disturbances.