한국정보처리학회:학술대회논문집 (Annual Conference of KIPS)

한국정보처리학회 (Korea Information Processing Society)
권호 표지

프롬프트 엔지니어링을 이용한 자동화된 지식 유닛 처리

Prompt Engineering automated Knowledge Unit processing

  • 미라 마울레쇼바 (체코 생명과학대학교 시스템 공학과) ;
  • 밀란 후슈카 (체코 생명과학대학교 시스템 공학과) ;
  • 시바니 산제이 콜레카르 (전남대학교 인공지능학과) ;
  • 김경백 (전남대학교 인공지능학과)
  • Mira Mauleshova (System Engineering Department Czech University of Life Sciences) ;
  • Milan Houska (System Engineering Department Czech University of Life Sciences) ;
  • Shivani Kolekar (Dept. of Artificial Intelligence Convergence, Chonnam National University) ;
  • Kyungbaek Kim (Dept. of Artificial Intelligence Convergence, Chonnam National University)
  • 발행 : 2024.10.31
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초록

This paper is dedicated to automated Knowledge Unit extraction by employing Prompt Engineering within the Generative AI models. The experiment is conducted analyzing the ability of GPT-4 to extract Knowledge Units' elements in an automated manner by the created prompts. Verification is proceeded by comparison among results from GPT-4 and the elements of Knowledge Units coming from the original methodology of knowledge-structured texts' creation. The results of the research prove that thanks to the created prompts, Knowledge Units are successfully extracted from unstructured text.

키워드

과제정보

This work was supported by Innovative Human Resource Development for Local Intellectualization program through the Institute of Information & Communications Technology Planning & Evaluation(IITP) grant funded by the Korea government(MSIT)(IITP-2024-RS-2022-00156287, 50%). This work was supported by Institute of Information & communications Technology Planning & Evaluation (IITP) under the Artificial Intelligence Convergence Innovation Human Resources Development (IITP-2023-RS-2023-00256629, 50%) grant funded by the Korea government(MSIT).

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