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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
  • Abbr : JRMASK
  • 2025, 25(3), pp.259~279
  • DOI : 10.14404/JKSARM.2025.25.3.259
  • Publisher : Korean Society of Archives and Records Management
  • Research Area : Interdisciplinary Studies > Library and Information Science > Archival Studies / Conservation
  • Received : July 16, 2025
  • Accepted : August 28, 2025
  • Published : August 31, 2025

Choi You-Ree 1 Lee Ye-eun 1 Oh Hyo-Jung 2

1전북대학교 기록관리학과 석사과정
2전북대학교 문헌정보학과 교수, 문화융복합아카이빙연구소 공통연구원

Accredited

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.

Citation status

* References for papers published after 2024 are currently being built.

This paper was written with support from the National Research Foundation of Korea.