庞宁,杨尔弘. 多种语义特征在突发事件新闻中的共指消解研究[J]. 中文信息学报, 2014, 28(1): 26-32.
PANG Ning , YANG Erhong. Multiple Semantic Features Based Coreference Resolution in Emergency News. , 2014, 28(1): 26-32.
Multiple Semantic Features Based Coreference Resolution in Emergency News
PANG Ning1 , YANG Erhong2
1. College of Applied Science, Taiyuan University of Science and Technology, Taiyuan, Shanxi 030024, China; 2. National Language Resource Monitoring and Research Center of Plane Media Center, Beijing Language and Culture University, Beijing 100083, China
Abstract：The key to improving the emergency response ability lies in collecting and extracting the useful information from the relevant news reports effectively. The coreference resolution is an important subtask for this purpose. In the paper, we present an approach to coreference resolution based on Maximum Entropy Model for Chinese news reports about sudden events. We exploit the semantic class features, the semantic role features, as well as the semantic related features, the redirection features and context features extracted from the Wikipedia. The experimental results confirm the positive effect to the coreference resolution by adding selected semantic knowledge except pure semantic role which can make the system F value dropped by 1.31%.
2014, Vol. 28 
