개체명인식과 서브워드 임베딩 기술을 활용한 건강 문서 검색 시스템
- Title
- 개체명인식과 서브워드 임베딩 기술을 활용한 건강 문서 검색 시스템
- Other Titles
- Health document retrieval system exploiting named entity recognition and subword embedding technique
- Author
- 이동호
- Issue Date
- 2021-07
- Publisher
- 대한전자공학회
- Citation
- 대한전자공학회 학술대회. 2021-06 2021(06):2399-2402
- Abstract
- Due to the growth of the healthcare service and
the global epidemic, the demand for personal
health-related services is increasing, and these
services are provided to consumers through Q&A
systems. Most Q&A systems are keyword-based
systems that allow users to search for desired
content only when they know the exact words of
the disease. However, users lack health knowledge,
so when searching, they enter queries in
abbreviations and typos, not exact names of words.
This results in a drop in the performance of
keyword-based Q&A systems. In this paper, we
propose a Korean-based health document retrieval
system that can recognize various terms of healthquestions that are entered from users exploitingnamed entity recognition and subword embeddingtechniques.
- URI
- https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE10591781https://repository.hanyang.ac.kr/handle/20.500.11754/172542
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- ETC[S] > 연구정보
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