Using outlier detection and entity recognition to improve a crowdsourcing biocuration system
碩士 === 國立成功大學 === 電機工程學系 === 106 === Due to the significantly increased amount of scientific publications, many automatic tools have been developed to extract the buried information within natural language articles. A manual verification, usually relying on domain experts, is generally required to e...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/q33z82 |