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- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2021.4
- 수록면
- 478 - 478 (1page)
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It requires a considerable amount of time and effort for researchers to use conventional online search methods to collect accurate experimental research literature depending on the scarcity of the information and the capability of the researcher. While deep learning is an ideal solution for such a task, it also requires substantial time and cost in preparing for training data. Desired (+) and undesired (-) literatures were defined depending on whether it includes information of “gene knockout experiments using a rat model to develop atherosclerosis”. Ten articles per group were tokenized for ... 전체 초록 보기
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