Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis     

Kai Hu  Qing Luo  Kunlun Qi  Siluo Yang  Jin Mao  Xiaokang Fu  Jie Zheng  Huayi Wu  Ya Guo  Qibing Zhu 《Information processing & management》2019,56(4):1185-1203

Topic evolution has been described by many approaches from a macro level to a detail level, by extracting topic dynamics from text in literature and other media types. However, why the evolution happens is less studied. In this paper, we focus on whether and how the keyword semantics can invoke or affect the topic evolution. We assume that the semantic relatedness among the keywords can affect topic popularity during literature surveying and citing process, thus invoking evolution. However, the assumption is needed to be confirmed in an approach that fully considers the semantic interactions among topics. Traditional topic evolution analyses in scientometric domains cannot provide such support because of using limited semantic meanings. To address this problem, we apply the Google Word2Vec, a deep learning language model, to enhance the keywords with more complete semantic information. We further develop the semantic space as an urban geographic space. We analyze the topic evolution geographically using the measures of spatial autocorrelation, as if keywords are the changing lands in an evolving city. The keyword citations (keyword citation counts one when the paper containing this keyword obtains a citation) are used as an indicator of keyword popularity. Using the bibliographical datasets of the geographical natural hazard field, experimental results demonstrate that in some local areas, the popularity of keywords is affecting that of the surrounding keywords. However, there are no significant impacts on the evolution of all keywords. The spatial autocorrelation analysis identifies the interaction patterns (including High-High leading, High-Low suppressing) among the keywords in local areas. This approach can be regarded as an analyzing framework borrowed from geospatial modeling. Moreover, the prediction results in local areas are demonstrated to be more accurate if considering the spatial autocorrelations.  相似文献   

Word sense disambiguation based on context selection using knowledge-based word similarity     

Sunjae Kwon  Dongsuk Oh  Youngjoong Ko 《Information processing & management》2021,58(4):102551

In this paper, we introduce a novel knowledge-based word-sense disambiguation (WSD) system. In particular, the main goal of our research is to find an effective way to filter out unnecessary information by using word similarity. For this, we adopt two methods in our WSD system. First, we propose a novel encoding method for word vector representation by considering the graphical semantic relationships from the lexical knowledge bases, and the word vector representation is utilized to determine the word similarity in our WSD system. Second, we present an effective method for extracting the contextual words from a text for analyzing an ambiguous word based on word similarity. The results demonstrate that the suggested methods significantly enhance the baseline WSD performance in all corpora. In particular, the performance on nouns is similar to those of the state-of-the-art knowledge-based WSD models, and the performance on verbs surpasses that of the existing knowledge-based WSD models.  相似文献   

The hidden depths of new word knowledge: Using graded measures of orthographic and semantic learning to measure vocabulary acquisition     

《Learning and Instruction》2021

We investigated whether the presence of orthography promotes new word learning (orthographic facilitation). In Study 1 (N = 41) and Study 2 (N = 74), children were taught 16 unknown polysyllabic words. Half of the words appeared with orthography present and half without orthography. Learning assessments captured the degree of semantic and orthographic learning; they were administered one week after teaching (Studies 1 and 2), and, unusually, eight months later (Study 1 only). Bayesian analyses indicated that the presence of orthography was associated with more word learning, though this effect was estimated with more certainty for orthographic than semantic learning. Newly learned word knowledge was well retained over time, indicating that our paradigm was sufficient to support long-term learning. Our approach provides an example of how word learning studies can look beyond simple accuracy measures to reveal the cumulative nature of lexical learning.  相似文献   

浅析新时期高校人事档案管理工作     

柏涛 《重庆职业技术学院学报》2011,20(3):99-100

在人们对人事档案意识越来越淡薄的今天。档案管理人员要通过自身努力转变观念,以更好地推动这项工作的发展。首先要从理清职责,强化责任心,发挥管理人员的主观能动性入手,再辅以规范的规章制度,并且要不断加强业务学习,提升各方面素质。只要踏实有效地做好这些工作,人事档案就一定能恢复它应有的活力。  相似文献   

基于MPEG的多媒体播放技术     

吴兆福 《荆门职业技术学院学报》2007,22(3):46-47

通过回顾MPEG发展历程和VB中多媒体控件MCI,提出了在VB环境中使用MCI来播放MPEG压缩文件的方法。  相似文献   

Third-grader's think-aloud protocols: Types of reading activities in reading an expository text     

Gonny Schellings  Cor Aarnoutse  Jan van Leeuwe 《Learning and Instruction》2006,16(6):549-568

In the present study, we examined the reading activities of young readers, while reading an expository text. A total of 24 third-graders was administered a think-aloud task on two occasions. Their protocols were analysed by a coding system that captured two levels of the reading process: the word identification level and the reading comprehension level. Three indices reflecting three different types of reading activities were discerned: reading errors, reproduction, and activities referring to reading strategies. Correlational analyses showed the reading strategy index to be related to reading comprehension as measured by standardized tests. The think-aloud task constitutes a valuable instrument for examining strategic reading among young readers.  相似文献   

用"第三只眼"看科技学术期刊审稿人   总被引：4，自引：4，他引：0  

赵更吉  马宇红 《编辑学报》2006,18(5):362-363

在肯定科技学术期刊审稿人重要作用的前提下,认为绝大多数审稿人是值得颂扬的,其奉献精神值得刊社人员学习,但也有少数审稿人因种种原因不能很好地承担审稿任务,刊社在使用审定意见时必须慎重.  相似文献   

现代科技期刊的稿流   总被引：3，自引：2，他引：1  

张众 《编辑学报》2006,18(3):167-169

稿流是物流在知识创新和传播领域中的特殊形式,而现代稿流则是基于信息化网络平台,全面集纳稿件挖掘、编辑出版、发行推广等多目标的办刊思想、稿件处理体系及新型出版机制.针对科技期刊,阐述现代稿流所具备的开放性系统、个性化服务、标准化生产、信息共享等特点,以及稿源挖掘、文稿供应、稿件管理、审查与商修、整理加工、数字出版与推介、学习型组织平台等7大功能.现代稿流将办刊活动纳入整个社会科技传播的大范畴之中,将推动科技成果的生产与传播.  相似文献   

一种基于特征编码的Word文档数字水印算法     

方旺盛  舒明磊 《科技广场》2006,(1):4-6

本文基于文本数字水印的特征编码思想,通过设置Word文档中字符的下划线格式以嵌入和检测水印。实验表明,该算法有较强的不可见性,能较好的嵌入和检测水印,从而达到数字水印的一般要求。  相似文献   

图情档一体化系统与现代企业信息管理系统集成构建高新企业知识管理系统   总被引：3，自引：0，他引：3  

李扬  陆南燕 《现代情报》2006,26(9):182-184

根据高新企业图书情报系统的未来发展方向，作者提出把企业图书情报档案系统进行一体化改制；并以知识管理作为未来发展目标，把企业图书情报档案一体化系统与现代企业信息管理系统进行集成，包括：产品数据管理（PDM）系统、企业资源规划（ERP）系统和企业办公自动化（OA）系统等，搭建企业知识管理系统，形成具有企业自身特点的知识产品与服务。  相似文献