科技信息资源内容监测与分析服务平台概况

为了方便研究者分析领域的研究动态,了解领域内研究的重要研究者和重要文献,并对科技文献和科技工作者的工作进行准确的评价,作者借助国家科技图书文献中心（NSTL）雄厚的资源优势,联合清华大学等有关优势单位,共同开发了面向西文资源的科技信息资源内容监测与分析服务平台,该平台具有专家、期刊/会议和关键词统一检索功能,具有研究者关联路径发现、主题发现等功能,并且内嵌了专家和论文排名功能。     

Fifty years of information management research: A conceptual structure analysis using structural topic modeling

Information management is the management of organizational processes, technologies, and people which collectively create, acquire, integrate, organize, process, store, disseminate, access, and dispose of the information. Information management is a vast, multi-disciplinary domain that syndicates various subdomains and perfectly intermingles with other domains. This study aims to provide a comprehensive overview of the information management domain from 1970 to 2019. Drawing upon the methodology from statistical text analysis research, this study summarizes the evolution of knowledge in this domain by examining the publication trends as per authors, institutions, countries, etc. Further, this study proposes a probabilistic generative model based on structural topic modeling to understand and extract the latent themes from the research articles related to information management. Furthermore, this study graphically visualizes the variations in the topic prevalences over the period of 1970 to 2019. The results highlight that the most common themes are data management, knowledge management, environmental management, project management, service management, and mobile and web management. The findings also identify themes such as knowledge management, environmental management, project management, and social communication as academic hotspots for future research.     

话题型微博中第三人称代词消解

对话题型微博中第三人称代词的使用特征进行分析。分析表明,话题型微博人称代词用法不规范;常出现外指;非指称性人称代词较多。针对这些特征,提出了基于多层面语言信息的消解策略,第三人称代词消解实验结果 F指数达到了85.83%。     

Coupled matrix factorization and topic modeling for aspect mining

Aspect mining, which aims to extract ad hoc aspects from online reviews and predict rating or opinion on each aspect, can satisfy the personalized needs for evaluation of specific aspect on product quality. Recently, with the increase of related research, how to effectively integrate rating and review information has become the key issue for addressing this problem. Considering that matrix factorization is an effective tool for rating prediction and topic modeling is widely used for review processing, it is a natural idea to combine matrix factorization and topic modeling for aspect mining (or called aspect rating prediction). However, this idea faces several challenges on how to address suitable sharing factors, scale mismatch, and dependency relation of rating and review information. In this paper, we propose a novel model to effectively integrate Matrix factorization and Topic modeling for Aspect rating prediction (MaToAsp). To overcome the above challenges and ensure the performance, MaToAsp employs items as the sharing factors to combine matrix factorization and topic modeling, and introduces an interpretive preference probability to eliminate scale mismatch. In the hybrid model, we establish a dependency relation from ratings to sentiment terms in phrases. The experiments on two real datasets including Chinese Dianping and English Tripadvisor prove that MaToAsp not only obtains reasonable aspect identification but also achieves the best aspect rating prediction performance, compared to recent representative baselines.     

信息结构中调核的非焦点功能解释

调核是提示信息焦点的一种重要手段。然而,调核有时提示的不是信息焦点,而落在语用预设命题之中。语用预设命题成分是否接受调核取决于两个因素:其所指的激活状态以及与大命题之间的语用关联。决定调核的位置不是由语用预设命题的认知状态所决定的,而是由其命题所指与大命题之间的语用关联性决定的。     

提高学生听力理解的实证研究

如何有效提高学生的英语听力理解水平一直是英语教学中的一道难题。基于实证研究观察＂听前了解相关主题并进行讨论法（TP法）＂对学生英语听力理解的影响,结果表明：两平行班学生听力课后的英语学习情况相似,但后测英语听力水平在统计学意义上有显著差异,实验组学生的听力理解表现明显比对照组学生好。TP法能有效提高学生的英语听力理解表现。     

人物专题学习网站的建设

通过《邓演达思想研究》学习网站的设计案例和教学实践,分析人物专题学习网站的定位、系统结构和功能设计,为学习者提供一个完整的网络学习环境和特定的人物专题知识展示,实现基于专题网站的研究性学习模式。     

国内主题图应用研究综述

论文在介绍国内主题图在专题知识组织、专题信息资源组织、主题图的自动构建和技术标准等方面的应用研究状况的基础上,分析了国内主题图应用的发展条件,并提出了发展的三个方向。     

抛锚式教学模式在高职英语毕业论文选题中的应用

建立在建构主义学习理论下的抛锚式教学模式,强调以学生为中心,培养学生在真实情境中解决问题的能力。本文通过对近几年高职学生英语毕业论文选题的现状及原因进行分析,并探索抛锚式教学模式在高职学生英语毕业论文选题中的应用。     

搜索引擎中分类技术研究

本文提出了一种基于主题采集的Web文档自动分类算法,该算法对朴素贝叶斯分类模型进行了改进。利用该算法,我们实现了一个基于主题信息采集的网页分类系统。文中着重对该系统的页面解析、中文分词和文本分类模块进行了论述,并对改进后的贝叶斯分类方法进行了评估。实验结果表明,该算法对网页分类有较高的准确性。