计算机工程2012，Vol.38Issue(24)：191-195,5.
基于CRFs和跨事件的事件识别研究
Study of Event Recognition Based on CRFs and Cross-event
摘要
Abstract
Event extraction is an important component of information extraction. Event detection and recognition is the basis of event extraction. It is implemented by two stages which are trigger word detection and event recognition. The two stages are studied. In first stage, words are clustered by LDA model to solve the words overfitting problem and a trigger word detection method is proposed based on character using CRFs model in view of the inconsistency between Chinese word segmentation and trigger word boundary. In the next stage, cross-event inference is applied in Chinese event recognition to enhance the result of event recognition. Experimental results show that the approach can significantly improve system performance, achieving the F-measure of 66.2 and 62.0 on the stage of trigger detection and event recognition respectively.关键词
事件抽取/触发词检测/事件类型识别/跨事件/CRFs模型/LDA模型Key words
event extraction/ trigger word detection/ event type recognition/ cross-event/ CRFs model/ LDA model分类
信息技术与安全科学引用本文复制引用
侯立斌,李培峰,朱巧明..基于CRFs和跨事件的事件识别研究[J].计算机工程,2012,38(24):191-195,5.基金项目
国家自然科学基金资助项目(60970056,61070123) （60970056,61070123）
江苏省自然科学基金资助项目(BK2008160) （BK2008160）
高等学校博士学科点专项科研基金资助项目(20093201110006) （20093201110006）
