[ "李英俊(1991-),男,黑龙江大庆人,哈尔滨工业大学硕士生,主要研究方向为网络舆情、网络安全。" ]
[ "张宏莉(1973-),女,吉林榆树人,博士,哈尔滨工业大学教授、博士生导师,主要研究方向为网络与信息安全、网络测量与建模、网络计算、并行处理等。" ]
[ "王星(1981-),男,黑龙江哈尔滨人,博士,哈尔滨工业大学助理研究员,主要研究方向为信息安全、网络舆情、知识迁移等。" ]
网络首发:2017-06,
纸质出版:2017-06-15
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李英俊, 张宏莉, 王星. 基于新闻事件片段的时序关系识别方法[J]. 网络与信息安全学报, 2017,3(6):33-41.
Ying-jun LI, Hong-li ZHANG, Xing WANG. Temporal relation recognition method based on news event fragments[J]. Chinese Journal of Network and Information Security, 2017, 3(6): 33-41.
李英俊, 张宏莉, 王星. 基于新闻事件片段的时序关系识别方法[J]. 网络与信息安全学报, 2017,3(6):33-41. DOI: 10.11959/j.issn.2096-109x.2017.00171.
Ying-jun LI, Hong-li ZHANG, Xing WANG. Temporal relation recognition method based on news event fragments[J]. Chinese Journal of Network and Information Security, 2017, 3(6): 33-41. DOI: 10.11959/j.issn.2096-109x.2017.00171.
针对新闻文本,将事件片段定义为最小划分单元,提出了一个两阶段的事件片段时序关系识别算法,第一阶段时序映射和第二阶段时序识别。使用真实网上新闻数据进行实验,结果表明,所提方法相比普通的分类器及强规则算法,准确率提高了4%。
Event fragments as the smallestr unit was defined and a two-stage event fragments temporal relation recognition algorithm was proposed.The first stage is sequential mapping and the second is sequence recognition.The real online data increased accuracy by 4% compared to common classifier and strong rule algorithm.
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