Research on Typical Event Extraction Method in the Field of Music
Ting Liu · Zhongwen xinxi xuebao · 2011
Event extraction is an important research issue in information extraction.This paper focuses on the music domain,and describes a method based on trigger clustering for event type discovering.Then we propose a method based on the filtering of keywords and triggers for event type recognition.For the event argument recognition,the method which is based on maximum entropy model is proposed in this paper.Evaluations on our corpus give a final F-score of 82.82% and 75.79% for type recognition and argument recognition.