计算机科学 ›› 2016, Vol. 43 ›› Issue (10): 272-276.doi: 10.11896/j.issn.1002-137X.2016.10.051
陈德华,冯洁莹,乐嘉锦,潘乔
CHEN De-hua, FENG Jie-ying, LE Jia-jin and PAN Piao
摘要： 病理文本作为一类重要的非结构化临床文档,对临床诊断至关重要。针对具体的中文病理文本数据,提出一种简单有效结构化处理方法。首先对中文病理历史文本数据进行预处理,包括数据清洗、短句切分及主干提取等步骤,从中提取出各个样本所对应的文本信息；然后通过短句聚类和统计参数筛选实现样本描述模板的提取；最后利用模板对病理文本进行即时结构化处理,得到最终的结构化处理结果。实验证明,该方法对同类文本可以达到很好的结构化效果；同时提取的模板会被定期优化以适应最新的数据结构化需求。
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