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Joint segmentation and named entity recognition using dual decomposition in Chinese discharge summaries
OBJECTIVE: In this paper, we focus on three aspects: (1) to annotate a set of standard corpus in Chinese discharge summaries; (2) to perform word segmentation and named entity recognition in the above corpus; (3) to build a joint model that performs word segmentation and named entity recognition. DE...
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| 主要な著者: | , , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BMJ Publishing Group
2014
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3957392/ https://ncbi.nlm.nih.gov/pubmed/23934949 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2013-001806 |
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