Story Link Detection Based on Event Model with Uneven SVM

摘要：

Topic Detection and Tracking refers to automatic techniques for locating topically related materials in streams of data.As a core of it,story link detection is to determine whether two stories are about the same topic.Up to now,many representation models have been used in story link detection.But few of them are specific to stories.This paper proposes an event model based on the characters of stories.This model is used for story link detection and evaluated on the TDT4 Chinese corpus.The experimental results indicate that the system using the event model achieves a better performance than that using the baseline model.Furthermore,it shows a larger improvement to the former,especially when using uneven SVM as the multi-similarity integration strategy.

关键词： story link detection event model uneven SVM

作者: Xiaoyan Zhang Ting Wang Huowang Chen

作者单位: Department of Computer Science and Technology,School of Computer,National University of Defense Technology No.137,Yanwachi Street,Changsha,Hunan 410073,P.R.China

会议类型: 国际会议

会议名称: 4th Asia Information Retrieval Symposium(AIRS 2008)(第四届亚洲信息检索研讨会)

会议地点: 哈尔滨

会议语种:英文

页码: 436-441

在线出版日期: 2008-01-16（万方平台首次上网日期，不代表论文的发表时间）