@article{ART003176555},
author={Yukyung Shin and Soyeon Jin},
title={A Study on a Question and Answer Relevance Identification Model Handling Data Imbalance for Battlefield Analysis},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2025},
volume={30},
number={2},
pages={13-20}
TY - JOUR
AU - Yukyung Shin
AU - Soyeon Jin
TI - A Study on a Question and Answer Relevance Identification Model Handling Data Imbalance for Battlefield Analysis
JO - Journal of The Korea Society of Computer and Information
PY - 2025
VL - 30
IS - 2
PB - The Korean Society Of Computer And Information
SP - 13
EP - 20
SN - 1598-849X
AB - This study proposes a multi-layer perceptron based regression-classification model for identifying the relevance between a given input question and its corresponding answer using data from the defense domain. First, an embedding vector method and pre-processing method are introduced to effectively handle input data. In the pre-processing method, if a class imbalance problem arises during the model input stage, a re-weighted sampling process is applied. And an additional algorithm is incorporated to identify and filter out contradictory data in advance. Furthermore, the relevance identification regression-classification model adopts a regression task structure while simultaneously transforming it into a classification task by introducing a regularization term in the model architecture. The experiments were conducted using a pre-constructed simulated dataset from the defense domain, and the inference results demonstrate the effectiveness and performance of the proposed model.
KW - Battlefield Analysis;Battlefield Awareness;Handling Data Imbalance;Multi-Layer Perceptron Regression
DO -
UR -
ER -
Yukyung Shin and Soyeon Jin. (2025). A Study on a Question and Answer Relevance Identification Model Handling Data Imbalance for Battlefield Analysis. Journal of The Korea Society of Computer and Information, 30(2), 13-20.
Yukyung Shin and Soyeon Jin. 2025, "A Study on a Question and Answer Relevance Identification Model Handling Data Imbalance for Battlefield Analysis", Journal of The Korea Society of Computer and Information, vol.30, no.2 pp.13-20.
Yukyung Shin, Soyeon Jin "A Study on a Question and Answer Relevance Identification Model Handling Data Imbalance for Battlefield Analysis" Journal of The Korea Society of Computer and Information 30.2 pp.13-20 (2025) : 13.
Yukyung Shin, Soyeon Jin. A Study on a Question and Answer Relevance Identification Model Handling Data Imbalance for Battlefield Analysis. 2025; 30(2), 13-20.
Yukyung Shin and Soyeon Jin. "A Study on a Question and Answer Relevance Identification Model Handling Data Imbalance for Battlefield Analysis" Journal of The Korea Society of Computer and Information 30, no.2 (2025) : 13-20.
Yukyung Shin; Soyeon Jin. A Study on a Question and Answer Relevance Identification Model Handling Data Imbalance for Battlefield Analysis. Journal of The Korea Society of Computer and Information, 30(2), 13-20.
Yukyung Shin; Soyeon Jin. A Study on a Question and Answer Relevance Identification Model Handling Data Imbalance for Battlefield Analysis. Journal of The Korea Society of Computer and Information. 2025; 30(2) 13-20.
Yukyung Shin, Soyeon Jin. A Study on a Question and Answer Relevance Identification Model Handling Data Imbalance for Battlefield Analysis. 2025; 30(2), 13-20.
Yukyung Shin and Soyeon Jin. "A Study on a Question and Answer Relevance Identification Model Handling Data Imbalance for Battlefield Analysis" Journal of The Korea Society of Computer and Information 30, no.2 (2025) : 13-20.
