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   

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   

高等数学互动式课堂教学实践   总被引：1，自引：0，他引：1  

刘金伟 《中国科技信息》2005,(16):477

本文分析了当前高等数学互动式课堂教学的现状(主要有两类:利用MicrosoftPowerpoint软件或利用专业的数学软件(如,Maple)),指出了不足并给出了切实可行的解决方案:MicrosoftPowerpoint VBA Maple这样一个有机组合。结合一个实例,详细解释了各个步骤实现方法。  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   

Unsupervised word sense disambiguation for Korean through the acyclic weighted digraph using corpus and dictionary     

Yeohoon Yoon  Choong-Nyoung Seon  Songwook Lee  Jungyun Seo 《Information processing & management》2006

Word sense disambiguation (WSD) is meant to assign the most appropriate sense to a polysemous word according to its context. We present a method for automatic WSD using only two resources: a raw text corpus and a machine-readable dictionary (MRD). The system learns the similarity matrix between word pairs from the unlabeled corpus, and it uses the vector representations of sense definitions from MRD, which are derived based on the similarity matrix. In order to disambiguate all occurrences of polysemous words in a sentence, the system separately constructs the acyclic weighted digraph (AWD) for every occurrence of polysemous words in a sentence. The AWD is structured based on consideration of the senses of context words which occur with a target word in a sentence. After building the AWD per each polysemous word, we can search the optimal path of the AWD using the Viterbi algorithm. We assign the most appropriate sense to the target word in sentences with the sense on the optimal path in the AWD. By experiments, our system shows 76.4% accuracy for the semantically ambiguous Korean words.  相似文献   

计算机基础教学中常见问题分析     

刘风华  刘宝炜 《沧州师专学报》2011,(1):113-115

在高师多年的计算机信息技术基础教学过程中,发现学生在Windows部分的复制与移动、建立快捷方式、文件重命名、Word部分的编辑排版等多个方面容易出现问题。分析这些常见的问题,然后提出了应对措施。  相似文献   

用Microsoft Excel软件处理物理化学实验数据     

刘云珍  陈顺玉 《福建师大福清分校学报》2011,(2):20-27

Microsoft Excel软件是一种图表功能强大的计算机数据处理软件。应用Excel程序处理物理化学实验数据可使原本复杂的数据处理过程变得简单、快捷,同时还可避免因手工绘图而引入的误差,提高实验结果的准确度和精确度。本文通过介绍几个典型的物理化学实验数据处理过程来说明如何利用Excel软件快速地处理物理化学实验数据。  相似文献   

在Word中直接绘制复杂生物学图形     

任守运 《生物学教学》2011,36(4):34-37

本文阐述了在W ord中直接绘制复杂生物学图形的一些具体方法和技巧,介绍了创造性使用绘图工具的做法。  相似文献