개체명인식과 서브워드 임베딩 기술을 활용한 건강 문서 검색 시스템
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 오경수 | - |
dc.contributor.author | 김건우 | - |
dc.contributor.author | 박지성 | - |
dc.contributor.author | 김예진 | - |
dc.contributor.author | 이동호 | - |
dc.date.accessioned | 2023-09-04T05:44:14Z | - |
dc.date.available | 2023-09-04T05:44:14Z | - |
dc.date.issued | 2021-07 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/114967 | - |
dc.description.abstract | Due to the growth of the healthcare service andthe global epidemic, the demand for personalhealth-related services is increasing, and theseservices are provided to consumers through Q&Asystems. Most Q&A systems are keyword-basedsystems that allow users to search for desiredcontent only when they know the exact words ofthe disease. However, users lack health knowledge,so when searching, they enter queries inabbreviations and typos, not exact names of words.This results in a drop in the performance ofkeyword-based Q&A systems. In this paper, wepropose 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. | - |
dc.format.extent | 4 | - |
dc.language | 한국어 | - |
dc.language.iso | KOR | - |
dc.publisher | 대한전자공학회 | - |
dc.title | 개체명인식과 서브워드 임베딩 기술을 활용한 건강 문서 검색 시스템 | - |
dc.title.alternative | Health document retrieval system exploiting named entity recognition and subword embedding technique | - |
dc.type | Article | - |
dc.publisher.location | 대한민국 | - |
dc.identifier.bibliographicCitation | 2021년 대한전자공학회 하계학술대회 논문집, pp 2399 - 2402 | - |
dc.citation.title | 2021년 대한전자공학회 하계학술대회 논문집 | - |
dc.citation.startPage | 2399 | - |
dc.citation.endPage | 2402 | - |
dc.type.docType | Proceeding | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | other | - |
dc.identifier.url | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE10591781 | - |
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