Annotating Multiple Types of Biomedical Entities Using Support Vector Machines
碩士 === 國立臺灣大學 === 資訊工程學研究所 === 93 === Named entity recognition is a fundamental task in biomedical text mining. Multiple-class entity annotation is more complicated and challenging than single-class entity annotation. In this thesis, we presented a single word classification approach to dealing with...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2005
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| Online Access: | http://ndltd.ncl.edu.tw/handle/12154785445587243190 |