2022-2023. Data extraction using deep learning for auto file naming an…
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작성자 교수 댓글 0건 조회 881회 작성일 22-04-19 16:18본문
Data extraction using deep learning for auto file naming and auto redaction, HP Printing Korea, PI, 2022.02.21~2023.02.20
[Project Goal]
(1) Development of a file name generation system
- Generating proper file names based on contents in files
- Key approaches: Topic Classification based on LDA (latent Dirichlet allocation), Keyword Extraction based on MRC (machine reading comprehension)
(2) Development of a named entity recognition system
- Identifying predefined named entities in files
- Key approaches: Fine-tuning a large-scaled language model for named entity recognition, Sequence labeling based on LAN (label attention networks)
[Project Goal]
(1) Development of a file name generation system
- Generating proper file names based on contents in files
- Key approaches: Topic Classification based on LDA (latent Dirichlet allocation), Keyword Extraction based on MRC (machine reading comprehension)
(2) Development of a named entity recognition system
- Identifying predefined named entities in files
- Key approaches: Fine-tuning a large-scaled language model for named entity recognition, Sequence labeling based on LAN (label attention networks)
- 이전글2022-2023. 뉴스 기사의 심층성 및 다양성 측정 모델 개발 22.06.14
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