摘要： 提出一种基于条件随机场(CRFs)和领域规则的业务名称识别方法。通过实验词及词性的不同组合选择特征集合，由该特征训练得到CRFs模型，利用该模型测试得到业务术语，采用2-gram及编辑距离2种度量方式进行相似度计算，利用领域规则和相似度计算方法得到业务名称。实验结果证明了该方法的有效性。

关键词: 业务名称识别, 条件随机场, 文本相似度, 编辑距离

Abstract: This paper presents a method for service name recognition based on Conditional Random Fields(CRFs) and domain rules. It choses a characteristic set by different combinations of experimental words and their part of speech. It obtains a CRFs model, and uses this model to the test corpus. It extracts service terms, which support the acquisition of service name recognition. In similarity measurement, 2-gram and edit distance mothods are adopted. Experimental results prove the validity of the method.

Key words: service name recognition, Conditional Random Fields(CRFs), text similarity, edit distance

中图分类号: 

• TP391