融合事件特征及语义角色标注的藏文信息抽取技术

Tibetan Information Extraction Technology Integrated with Event Feature and Semantic Role Labeling

本文在藏语短语句法分析的基础上,融入功能语义信息线索,采用在藏语短语句法树库的基础上加入语义角色标注的方法,并融合事件触发词信息,对藏文信息进行抽取,并通过实验进行了对比分析。本文事件特征融合与已标注信息对藏文信息抽取有帮助,本文模型可以很好地应用于藏文信息抽取工作。

Semantic information integrated with syntactic analysis was used for extracting the Tibetan language information. Using the method of semantic role tagging on the basis of the Tibetan phrase syntactic treebank and the information of event triggering words, the information of Tibetan language is extracted. Through comparative analysis of experiments, It is shown that the fusion of event feature and tagged information help Tibetan language information extraction, and the given model can be well applied to Tibetan information extraction.