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作 者:王宁 张正霞[1,2] 罗勇[1,2] Wang Ning;Zhang Zheng-xia;Luo Yong(Shanxi Seismological Bureau, Taiyuan, Shanxi 030021, China;Taiyuan Continental Rift Dynamics National Field Scientific Observation and Research Station, Taiyuan, Shanxi 030025, China)
机构地区:[1]山西省地震局,山西太原030021 [2]太原大陆裂谷动力学国家野外科学观测研究站,山西太原030025
出 处:《山西地震》2020年第4期37-39,46,共4页Earthquake Research in Shanxi
基 金:山西省地震局科研课题(SBK-2017)。
摘 要:在当前信息快速发展的时代,公众运用网络,通过输入关键字搜索、自动问答等方式,可快速获取科普知识等各种信息。网络也成为各类科普宣传的重要渠道。其中,中文句子相似度算法在基于实例的搜索、自动问答等自然语言处理领域,具有非常广泛的应用背景。该文以地震科普问题为语料,结合防震减灾术语,研究三种中文句子相似度算法的有效性。In the current era of rapid development of information,the public can quickly obtain scientific knowledge and other information by using the Internet through inputting keyword search,automatic question-and-answer and other ways.The Internet has also become an important channel for all kinds of science popularization.Among them,Chinese sentence similarity algorithm has a very wide application background in natural language processing such as instance-based search and automatic question-answering.In this paper,the validity of three Chinese sentence similarity algorithms is studied based on the popular science of earthquake and the terms of earthquake prevention and mitigation.
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