中外情报学论文创新性特征研究   总被引：1，自引：0，他引：1  

曹树金  闫欣阳  张倩  卓伊玲 《图书情报工作》2020,64(1):80-92

[目的/意义] 综合运用定性与定量相结合的方法对近年中外情报学论文的创新性进行分析和对比，揭示情报学领域研究的创新性特征，发现领域学术论文中创新句内部的知识关系，进行更细粒度的论文创新性分析，为研究领域创新点深层次利用提供条件，同时丰富科技论文创新性监测的途径，促进科学研究创新。[方法/过程] 从句子级创新性识别出发，选取中英文各两种情报学期刊作为样本，采用信息抽取和机器学习的方法，将创新句的抽取从现有的摘要扩展到全文，充分利用句子结构和句法特征识别领域创新内容，探讨近年中外情报学论文在创新对象、主题、类别等方面的特征，并做对比分析，最后通过对自动分类的论文集合进行定性的内容分析，总结归纳出中外情报学论文创新的表达范式。[结果/结论] 从创新的表达来看，中外情报学论文创新句的分布情况基本一致，英文期刊论文创新的表达更丰富。从创新性特征来看，英文情报学期刊论文创新主题较集中，而中文主题多样和分散；具体方法的创新是近年情报学领域的创新热点，而在研究方法上创新不足；中英文情报学期刊论文的创新性特点都反映了应用研究、实证研究的成果较多，而理论创新推动缓慢的趋势。  相似文献   

汉语框架网络本体与VerbNet、WordNet集成研究     

贾君枝  董刚 《现代图书情报技术》2008,3(6):6-10

针对汉语框架网络本体（CFN）在词汇覆盖面及语义分析和推理中存在的不足,在充分分析其结构的基础上,通过将其与另外两大知识库WordNet和VerbNet的集成,以增强汉语框架网络本体的广度和深度,从而达到构建一个功能强大的汉语框架网络本体知识库的目的。  相似文献   

基于Android的XML解析器的分析与比较     

栾咏红 《南京晓庄学院学报》2011,(6):98-100

Android平台上应用程序访问Web服务时,多数都会使用XML的解析技术．文中从工作原理、常用接口及类方法,XML文档解析的过程三个方面,分析比较Android所支持的三种解析技术：DOM、SAX、XML Pull．指出Android平台上选用何种解析技术主要取决于三方面的因素：移动设备内存的大小、XML解析文档的大小,以及移动应用程序中解析文档的主要用途．  相似文献   

论马丁·卡诺伊的教育与国家关系理论     

LE Xianlian 《外国教育研究》2007,(8)

马丁.卡诺伊立足于西方马克思主义视角,借用帝国主义、后殖民主义和依赖理论等,系统地阐述了不同类型和不同发展阶段国家的教育与国家发展的相应关系。  相似文献   

区域创新网络在促进路径创造中的作用分析     

曹瑄玮 《科学学与科学技术管理》2007,28(2):85-89

路径依赖不仅表现在组织层次上，在网络层次、区域层次表现得也很明显。一个区域的持续发展在于不断地创新，其本质在于不断突破原有路径依赖的束缚、创造新的路径。通过阐述区域创新网络的构成、目标与任务，揭示出区域创新网络实现路径创造的两种基本途径，说明区域创新网络的构建与区域的路径创造是一个相辅相成的关系。  相似文献   

高校图书馆微信公众号用户消极使用行为影响因素研究     

尹明章  孙金香  周天旻  余泱川 《情报探索》2020,(5):104-109

[目的/意义]探究高校图书馆微信公众号用户消极使用行为的影响因素,为改进服务质量、优化使用体验和提升用户活跃度等提供有价值的意见和建议。[方法/过程]借鉴信息过载、信息系统成功模型及媒介系统依赖理论的相关研究成果,构建图书馆微信公众平台用户消极使用行为模型,并通过问卷调查和结构方程模型进行验证。[结果/结论]信息过载正向影响用户不满意度,信息质量、服务质量及依赖均负向影响用户不满意度,不满意度正向影响用户的忽略和取关行为,依赖负向影响用户的忽略行为和取关行为;不满意度对忽略行为影响程度大于取关行为,而依赖对取关行为的影响程度大于忽略行为。  相似文献   

"科学发展观与媒介化社会构建"系列报告之三我国社会的媒介影响与媒介依赖     

林爱珺  张晓锋  童兵 《新闻界》2007,(6):8-10

大众媒介的飞速发展使人类社会步入媒介化时代.如今,媒介已经成为人们社会政治生活和日常生活中不可缺少的东西,人们对大众传媒的依赖性越来越大.大众媒介具有巨大的影响,它缔造了人们所处的大众文化环境,制约了人们的认知与行为,这种无形的影响力被认为是产生媒介化的主要原因.伴随着媒介对社会无孔不入的渗透,受众对媒介的依赖也愈发增强,突出地表现为人对媒介的工具性依赖和内容依赖.  相似文献   

Revisiting Cross-document Structure Theory for multi-document discourse parsing     

Erick Galani Maziero  Maria Lucía del Rosário Castro Jorge  Thiago Alexandre Salgueiro Pardo 《Information processing & management》2014

Multi-document discourse parsing aims to automatically identify the relations among textual spans from different texts on the same topic. Recently, with the growing amount of information and the emergence of new technologies that deal with many sources of information, more precise and efficient parsing techniques are required. The most relevant theory to multi-document relationship, Cross-document Structure Theory (CST), has been used for parsing purposes before, though the results had not been satisfactory. CST has received many critics because of its subjectivity, which may lead to low annotation agreement and, consequently, to poor parsing performance. In this work, we propose a refinement of the original CST, which consists in (i) formalizing the relationship definitions, (ii) pruning and combining some relations based on their meaning, and (iii) organizing the relations in a hierarchical structure. The hypothesis for this refinement is that it will lead to better agreement in the annotation and consequently to better parsing results. For this aim, it was built an annotated corpus according to this refinement and it was observed an improvement in the annotation agreement. Based on this corpus, a parser was developed using machine learning techniques and hand-crafted rules. Specifically, hierarchical techniques were used to capture the hierarchical organization of the relations according to the proposed refinement of CST. These two approaches were used to identify the relations among texts spans and to generate multi-document annotation structure. Results outperformed other CST parsers, showing the adequacy of the proposed refinement in the theory.  相似文献   

A Dual-Pointer guided transition system for end-to-end structured sentiment analysis with global graph reasoning     

《Information processing & management》2022,59(4):102992

Structured sentiment analysis is a newly proposed task, which aims to summarize the overall sentiment and opinion status on given texts, i.e., the opinion expression, the sentiment polarity of the opinion, the holder of the opinion, and the target the opinion towards. In this work, we investigate a transition-based model for end-to-end structured sentiment analysis task. We design a transition architecture which supports the recognition of all the possible opinion quadruples in one shot. Based on the transition backbone, we then propose a Dual-Pointer module for more accurate term boundary detection. Besides, we further introduce a global graph reasoning mechanism, which helps to learn the global-level interactions between the overlapped quadruples. The high-order features are navigated into the transition system to enhance the final predictions. Extensive experimental results on five benchmarks demonstrate both the prominent efficacy and efficiency of our system. Our model outperforms all baselines in terms of all metrics, especially achieving a 10.5% point gain over the current best-performing system only detecting the holder-target-opinion triplets. Further analyses reveal that our framework is also effective in solving the overlapping structure and long-range dependency issues.  相似文献   

从模仿到依附:中国体育教师培养课程改革反思     

黄爱锋 《西安体育学院学报》2001,18(1):86-89

从宏观上分析了我国近百年体育教师培养课程历程 ,归结出我国面向 2 1世纪体育教师培养课程新体系的构建思路与原则 ,如创新性原则等 ,并指出我国的体育教育专业课程发展应实事求是的走“特色”的发展道路。  相似文献