Abstract: The authors presented an approach of Chinese coordination relations recognition based on CRFs. Tokens were tagged with different roles according to their functions in the generation of Chinese coordination relations. Then coordination relations were recognized by CRFs (conditional random fields). Compared with the maximum spanning tree dependency parsing, the experiment shows that recall and precision of coordination relations increase by 9.1%, 13.8%.

Key words: dependency parsing, CRFs, role tagging, coordination relations

摘要： 针对汉语并列关系的标注方式, 提出一种基于条件随机场模型的并列关系自动识别方法。从语料库中自动抽取并列关系的角色信息, 进行角色标注, 在条件随机场模型的基础上实现并列关系的识别。与基于图的依存分析方法比较, 并列关系的召回率和正确率分别提高了9.1%和13.8%。

关键词: 依存句法分析, 条件随机场, 角色标注, 并列关系