Speculation detection for Chinese clinical notes: Impacts of word segmentation and embedding models
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- 作者：Shaodian Zhanga ; Tian Kanga ; Xingting Zhangb ; Dong Wenb ; Noé ; mie Elhadada ; Jianbo Leib ; jblei@hsc.pku.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：Speculation detection ; Natural language processing ; Chinese NLP ; Clinical NLP ; Word embedding ; Word segmentation
- 刊名：Journal of Biomedical Informatics
- 出版年：2016
- 出版时间：April 2016
- 年：2016
- 卷：60
- 期：Complete
- 页码：334-341
- 全文大小：917 K
文摘
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Chinese speculation detection is approached by a supervised sequence-labeling.
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Embedding features can enhance system accuracy, especially word embedding.
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Domain specific word segmentation is critical to Chinese speculation detection.