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논문 기본정보
Domain Specific Annotation of Digital Documents through Keyphrase Extraction
논문 개요
| 기관명 | NDSL |
|---|---|
| 저널명 | 한국정보처리학회 2011년도 제35회 춘계학술발표대회 |
| ISSN | , |
| ISBN |
논문저자 및 소속기관 정보
| 저자(한글) | Fatima, Iram,Lee, Young-Koo,Lee, Sung-Young |
|---|---|
| 저자(영문) | |
| 소속기관 | |
| 소속기관(영문) | |
| 출판인 | |
| 간행물 번호 | |
| 발행연도 | 2011-01-01 |
| 초록 | In this paper, we propose a methodology to annotate the digital documents through keyphrase extraction using domain specific taxonomy. Limitation of the existing keyphrase extraction algorithms is that output keyphrases may contain irrelevant information along with relevant ones. The quality of the generated keyphrases by the existing approaches does not meet the required level of accuracy. Our proposed approach exploits semantic relationships and hierarchical structure of the classification scheme to filter out irrelevant keyphrases suggested by Keyphrase Extraction Algorithm (KEA++). Our experimental results proved the accuracy of the proposed algorithm through high precision and low recall. |
| 원문URL | http://click.ndsl.kr/servlet/OpenAPIDetailView?keyValue=03553784&target=NPAP&cn=NPAP09710977 |
| 첨부파일 |
추가정보
| 과학기술표준분류 | |
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| ICT 기술분류 | |
| DDC 분류 | |
| 주제어 (키워드) |