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中外情报学论文创新性特征研究 总被引：1，自引：0，他引：1
[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
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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
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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
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阿尔特巴赫以其教育依附论思想而闻名国际比较教育界。他在分析了西方国家和第三世界国家高等教育现状的基础上,以中心与边缘、新殖民主义及中心的边缘,边缘的中心等概念作为切入点,指出第三世界国家和工业化国家在教育上存在着不平等的关系。理解阿尔特巴赫的教育依附论思想对比较教育方法论的研究有着重要的意义。 相似文献
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钱叶芳 《温州大学学报(社会科学版)》2011,(4)
民法原理不能为劳动关系的稳定诉求提供合理的法理解释,而雇员身份的特殊性可以给劳动关系的稳定诉求提供独立于民法原理的另一种法理基础。在民事身份的演化过程中,正身份和负身份的古代法含义随着契约社会的发展,转变为强势身份与弱势身份,但并非所有的负身份者都能合乎民法原理和逻辑地接受其社会化的保护政策。雇员身份与民法内在逻辑的冲突决定了民法社会化的范围无法合理地延伸至劳动关系领域。劳动关系的稳定诉求是由雇主与雇员之间的人身从属性所衍生的义务决定的。而且,人身关系先于财产关系,因而,对劳动关系而言,稳定诉求比和谐诉求更为本质。 相似文献
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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
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《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
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In this paper, we propose a new language model, namely, a dependency structure language model, for topic detection and tracking (TDT) to compensate for weakness of unigram and bigram language models. The dependency structure language model is based on the Chow expansion theory and the dependency parse tree generated by a linguistic parser. So, long-distance dependencies can be naturally captured by the dependency structure language model. We carried out extensive experiments to verify the proposed model on topic tracking and link detection in TDT. In both cases, the dependency structure language models perform better than strong baseline approaches. 相似文献
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申乐琳 《中国科技期刊研究》2016,27(6):624-628
【目的】找出大气科学类期刊DOI注册和应用中存在的问题并及时解决,充分发挥DOI在科技期刊的作用,普及DOI检索在科研中的应用。【方法】调查分析2014版《中国科技期刊引证报告（核心版）》大气科学类核心期刊使用DOI的现状,包括DOI的注册及标注、文后参考文献著录,以及DOI的解析情况。【结果】大气科学类期刊DOI注册较成熟,但是DOI的应用和宣传远远不够,特别表现在文后参考文献的著录、首页的推荐引用格式,以及解析不准确等方面。【结论】提出科技期刊应做好DOI注册的后期工作,并加大DOI的宣传力度,提高DOI解析的正确性,在DOI的应用方面早日与国际接轨。 相似文献