Word Segmentation for Chinese Judicial Documents

• 作者: Bin Luo Chuanyi Li Jidong Ge Jin Zeng Linxia Yao Victor Chang Yuan Yao Zhenhao Li
• 来源期刊: 国际计算机前沿大会会议论文集
• 学科: 社会科学
• 关键词: CHINESE word SEGMENTATION KNOWLEDGE DISCOVERY JUDICIAL DOCUMENTS
• 年，卷（期）: 2019,（1）
• 页码范围: 476-478
• 页数: 3页
• 分类号: C

摘要

Word segmentation is an integral step in many knowledge discovery applications. However, existing word segmentation methods have problems when applying to Chinese judicial documents:(1) existing methods rely on large-scale labeled data which is typically unavailable in judicial documents, and (2) judicial document has its own language features and writing formats. In this paper, a word segmentation method is proposed for Chinese judicial documents. The proposed method consists of two steps:(1) automatically generating some labeled data as legal dictionaries, and (2) applying a hybrid multilayer neural networks to do word segmentation incorporating legal dictionaries. Experiments are conducted on a dataset of Chinese judicial documents showing that the proposed model can achieve better results than the existing methods.