Search Results for author: Ken Satoh

Found 19 papers, 2 papers with code

GPTs and Language Barrier: A Cross-Lingual Legal QA Examination

no code implementations26 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.

Benchmarking Question Answering +1

Balancing Exploration and Exploitation in LLM using Soft RLLF for Enhanced Negation Understanding

no code implementations2 Mar 2024 Ha-Thanh Nguyen, Ken Satoh

Finetuning approaches in NLP often focus on exploitation rather than exploration, which may lead to suboptimal models.

Logical Reasoning Negation +1

Encoded Summarization: Summarizing Documents into Continuous Vector Space for Legal Case Retrieval

no code implementations15 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.


Black-Box Analysis: GPTs Across Time in Legal Textual Entailment Task

no code implementations11 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.

Natural Language Inference

Transformer-based Approaches for Legal Text Processing

no code implementations13 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.

CovRelex: A COVID-19 Retrieval System with Relation Extraction

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.

Relation Relation Extraction +1

Building Legal Case Retrieval Systems with Lexical Matching and Summarization using A Pre-Trained Phrase Scoring Model

no code implementations29 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.


Automatic Catchphrase Extraction from Legal Case Documents via Scoring using Deep Neural Networks

no code implementations14 Sep 2018 Vu Tran, Minh Le Nguyen, Ken Satoh

In this paper, we present a method of automatic catchphrase extracting from legal case documents.

ConvAMR: Abstract meaning representation parsing for legal document

1 code implementation16 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.

Abstract Argumentation / Persuasion / Dynamics

no code implementations29 May 2017 Ryuta Arisaka, Ken Satoh

The act of persuasion, a key component in rhetoric argumentation, may be viewed as a dynamics modifier.

Abstract Argumentation

Coalition Formability Semantics with Conflict-Eliminable Sets of Arguments

no code implementations2 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.

Abstract Argumentation

An Architecture for Autonomously Controlling Robot with Embodiment in Real World

no code implementations26 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.

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