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   

中文信息处理中的语义关系表示探析   总被引：1，自引：0，他引：1  

刘焘  贾君枝 《现代图书情报技术》2006,1(10):25-29

根据目前中文信息处理的现状对自然语言在句法结构与语义结合方面的需求，对美国加州大学伯克利分校构建的框架网络工程进行探索与研究，详细分析框架网络数据库中最重要的框架关系，并利用这些关系将词汇进行联系形成网状数据库，目的在于利用词与词间的关系进行信息抽取或信息检索时，能够方便准确地进行信息处理并得到理想结果。  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   

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   

我国科技期刊DOI使用现状分析——以大气科学类2014年版CJCR核心期刊为例     

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   

Improving graph-based random walks for complex question answering using syntactic,shallow semantic and extended string subsequence kernels     

Yllias Chali  Sadid A. Hasan  Shafiq R. Joty 《Information processing & management》2011

The task of answering complex questions requires inferencing and synthesizing information from multiple documents that can be seen as a kind of topic-oriented, informative multi-document summarization. In generic summarization the stochastic, graph-based random walk method to compute the relative importance of textual units (i.e. sentences) is proved to be very successful. However, the major limitation of the TF^*IDF approach is that it only retains the frequency of the words and does not take into account the sequence, syntactic and semantic information. This paper presents the impact of syntactic and semantic information in the graph-based random walk method for answering complex questions. Initially, we apply tree kernel functions to perform the similarity measures between sentences in the random walk framework. Then, we extend our work further to incorporate the Extended String Subsequence Kernel (ESSK) to perform the task in a similar manner. Experimental results show the effectiveness of the use of kernels to include the syntactic and semantic information for this task.  相似文献   

《拍案惊奇》、《二刻拍案惊奇》重叠式状语的句法及语义特点     

王艺娜 《襄樊职业技术学院学报》2014,(1):51-54

《拍案惊奇》、《二刻拍案惊奇》重叠式状语形式多样,重点探讨重叠式状语的句法位置、语义分类和语义指向类型。  相似文献   

基于句法语义的网络舆论情感倾向性评价技术研究   总被引：2，自引：0，他引：2  

段建勇  谢宇超  张梅 《情报杂志》2012,(1):147-150

提出一个基于句法语义的情感倾向性评测算法。首先构建特定领域的情感语料库,然后提取情感知识库,为后续情感分析提供必要的基本数据。算法以句子为基本单位进行处理,运用基于扩展句法树的语言处理模型,从单句到篇章计算文本情感倾向。实验证实该方法是有效的。  相似文献