关键词: 关系抽取, 弱监督, 中文百科, 朴素贝叶斯分类, 条件随机场

Abstract: In order to solve the problem of insufficient training corpus for extracting attribute relation from Chinese encyclopedia, a weakly supervised method was proposed, which needed minimal human intervention. First, semi-structured attribute relations from Chinese encyclopedia entry infoboxes were used to tag entry texts for obtaining training corpus. Second, the optimized training corpus was obtained based on Naive Bayesian theory. Third, Conditional Random Field (CRF) was used to form attribute relation extraction model. The evaluation of F-score on the Hudong encyclopedia datasets was 80.9%. The experimental result shows that this method can enhance the quality of training corpus and runs a better extraction performance.

Key words: relation extraction, weak supervision, Chinese encyclopedia, Naive Bayes classification, Conditional Random Field (CRF)