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基于话题要素相似度计算的报道关系识别方法
引用本文:赵艳,戴播,濮小佳,袁春风. 基于话题要素相似度计算的报道关系识别方法[J]. 计算机应用与软件, 2010, 27(1): 35-37,64
作者姓名:赵艳  戴播  濮小佳  袁春风
作者单位:南京大学计算机软件新技术国家重点实验室,江苏,南京,210093
基金项目:国家863高科技重点项目(2006AA010109);;国家自然科学基金(60673043)
摘    要:报道关系识别是话题识别与跟踪TDT(Topic Detection and Tracking)研究内容中的基本任务之一,根据新闻话题的几大要素:时间、地点、人物、内容等,提出了一种基于话题要素的话题报道表示模型,并给出了基于话题要素相似度计算的报道关系识别方法。实验证明这种方法特别适用于同主题下不同话题的报道关系识别。

关 键 词:话题识别与跟踪  报道关系识别  话题要素  相似度计算

STORY LINK DETECTION BASED ON TOPIC ELEMENTS SIMILARITY CALCULATION
Zhao Yan,Dai Bo,Pu Xiaojia,Yuan Chunfeng. STORY LINK DETECTION BASED ON TOPIC ELEMENTS SIMILARITY CALCULATION[J]. Computer Applications and Software, 2010, 27(1): 35-37,64
Authors:Zhao Yan  Dai Bo  Pu Xiaojia  Yuan Chunfeng
Affiliation:State Key Laboratory for Novel Software Technology/a>;Nanjing University/a>;Nanjing 210093/a>;Jiangsu/a>;China
Abstract:Story link detection(SLD) is one of the five basic tasks in topic detection and tracking(TDT).According to several major elements of news topic:when,where,who and what,this paper presents a topical story representation model based on topic elements,and then proposes an approach for story link detection based on topic elements similarity computation.This method is proved by the experiments reported in the paper to be particularly effective when dealing with SLD with different topics in same subject.
Keywords:Topic detection and tracking Story link detection Topic elements Similarity calculation  
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