학술논문

AIEPU at ALQAC 2023: Deep Learning Methods for Legal Information Retrieval and Question Answering
Document Type
Conference
Source
2023 15th International Conference on Knowledge and Systems Engineering (KSE) Knowledge and Systems Engineering (KSE), 2023 15th International Conference on. :1-6 Oct, 2023
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Deep learning
Knowledge engineering
Law
Data preprocessing
Information retrieval
Question answering (information retrieval)
Modeling
legal information retrieval
legal question answering
natural language processing
large language model
prompt tuning
Language
ISSN
2694-4804
Abstract
Given the widespread integration of Artificial Intelligence across various domains, the exploration of its applications in the legal field remains understudied, emphasizing the critical need for the development of effective deep learning approaches. This paper describes on our approaches to legal information retrieval (Task 1) and legal question answering (Task 2) in the Automated Legal Question Answering Competition (ALQAC 2023). Specifically, we employed the Paraformer model for information retrieval and leveraged large language models for answering questions. In the competition, we achieved the 1 st place for Task 2. In this task, our findings demonstrate that fine-tuning appropriate prompts helps the large language models to achieve better performance. Our prompts are available at https://github.com/DucLong06/Legal-Prompts