Study of Event Recognition Based on CRFs and Cross-event
Qiaoming Zhu · Jisuanji gongcheng · 2012
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.