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  • P-ISSN1598-1487
  • E-ISSN2671-7247

ISSN : 1598-1487

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Vol.25 No.3

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Logical Answer Structure Design based on Semantic Role Labeling (SRL) for an Intelligent Archival Information Service Chatbot

Journal of Korean Society of Archives and Records Management / Journal of Korean Society of Archives and Records Management, (P)1598-1487; (E)2671-7247
2025, v.25 no.3, pp.259-279
https://doi.org/10.14404/JKSARM.2025.25.3.259
Choi You-Ree
Lee Ye-eun
Oh Hyo-Jung
Choi, Y. , Lee, Y. , & Oh, H. (2025). Logical Answer Structure Design based on Semantic Role Labeling (SRL) for an Intelligent Archival Information Service Chatbot. , 25(3), 259-279, https://doi.org/10.14404/JKSARM.2025.25.3.259

Abstract

The National Archives of Korea (NAK), as the nation‘s central authority for records management, is responsible for responding to diverse public requests for access to records and addressing general complaints related to records management. As a preliminary step toward developing an intelligent chatbot specialized in archival information services for the NAK, this study aims to classify question types and design response scenario templates through semantic role labeling (SRL). Research data consist of information disclosure request titles submitted to the NAK and the records management FAQs it provides. From these, six question types were derived and structured with natural language understanding elements. Then, question type classification and response scenario templates were developed to identify user intentions and generate customized responses. The proposed question type–based response structuring offers a systematic model for response generation in archival information service chatbot development and is expected to improve user satisfaction and operational efficiency in future service environments.

keywords
Archival Information Services, Intelligent Chatbot, Semantic Role Labeling (SRL), Question Type Classification, Response Scenario Template, 기록정보서비스, 지능형 챗봇, 논항구조분석, 질문 유형 분류, 응답 시나리오 템플릿

Journal of Korean Society of Archives and Records Management

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