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1.
Image and text matching bridges visual and textual modality differences and plays a considerable role in cross-modal retrieval. Much progress has been achieved through semantic representation and alignment. However, the distribution of multimedia data is severely unbalanced and contains many low-frequency occurrences, which are often ignored and cause performance degradation, i.e., the long-tail effect. In this work, we propose a novel rare-aware attention network (RAAN), which explores and exploits textual rare content for tackling the long-tail effect of image and text matching. Specifically, we first design a rare-aware mining module, which contains global prior information construction and rare fragment detector for modeling the characteristic of rare content. Then, the rare attention matching utilizes prior information as attention to guide the representation enhancement of rare content and introduces the rareness representation to strengthen the similarity calculation. Finally, we design prior information loss to optimize the model together with the triplet loss. We perform quantitative and qualitative experiments on two large-scale databases and achieve leading performance. In particular, we conduct 0-shot test for rare content and improve rSum by 21.0 and 41.5 on Flickr30K (155,000 image and text pairs) and MSCOCO (616,435 image and text pairs), demonstrating the effectiveness of the proposed method for the long-tail effect.  相似文献   
2.
[目的/意义] 探究用户使用电子书意愿的影响因素,以有助于电子书产业走出缓慢的发展困境。[方法/过程] 以UTAUT2、使用满足理论为基础,从需求满足和外部情景因素两个层面构建影响因素模型,并将需求满足细化为内容需求、社交互动需求和休闲娱乐需求3个测量变量。采用问卷调查方法收集有效样本1 013份,使用AMOS21软件对模型进行验证。[结果/结论] 研究发现,需求满足、阅读习惯、价格价值、社会影响对使用意愿有正向影响作用,而激励措施对使用意愿有负向影响作用,努力期望对使用意愿的影响不显著,并依据研究结果提出促进电子书产业发展的建议。  相似文献   
3.
Traditional information retrieval techniques that primarily rely on keyword-based linking of the query and document spaces face challenges such as the vocabulary mismatch problem where relevant documents to a given query might not be retrieved simply due to the use of different terminology for describing the same concepts. As such, semantic search techniques aim to address such limitations of keyword-based retrieval models by incorporating semantic information from standard knowledge bases such as Freebase and DBpedia. The literature has already shown that while the sole consideration of semantic information might not lead to improved retrieval performance over keyword-based search, their consideration enables the retrieval of a set of relevant documents that cannot be retrieved by keyword-based methods. As such, building indices that store and provide access to semantic information during the retrieval process is important. While the process for building and querying keyword-based indices is quite well understood, the incorporation of semantic information within search indices is still an open challenge. Existing work have proposed to build one unified index encompassing both textual and semantic information or to build separate yet integrated indices for each information type but they face limitations such as increased query process time. In this paper, we propose to use neural embeddings-based representations of term, semantic entity, semantic type and documents within the same embedding space to facilitate the development of a unified search index that would consist of these four information types. We perform experiments on standard and widely used document collections including Clueweb09-B and Robust04 to evaluate our proposed indexing strategy from both effectiveness and efficiency perspectives. Based on our experiments, we find that when neural embeddings are used to build inverted indices; hence relaxing the requirement to explicitly observe the posting list key in the indexed document: (a) retrieval efficiency will increase compared to a standard inverted index, hence reduces the index size and query processing time, and (b) while retrieval efficiency, which is the main objective of an efficient indexing mechanism improves using our proposed method, retrieval effectiveness also retains competitive performance compared to the baseline in terms of retrieving a reasonable number of relevant documents from the indexed corpus.  相似文献   
4.
Semantic knowledge accumulates through explicit means and productive processes (e.g., analogy). These means work in concert when information explicitly acquired in separate episodes is integrated, and the integrated representation is used to self-derive new knowledge. We tested whether (a) self-derivation through memory integration extends beyond general information to science content, (b) self-derived information is retained, and (c) details of explicit learning episodes are retained. Testing was in second-grade classrooms (children 7–9 years). Children self-derived new knowledge; performance did not differ for general knowledge (Experiment 1) and science curriculum facts (Experiment 2). In Experiment 1, children retained self-derived knowledge over one week. In Experiment 2, children remembered details of the learning episodes that gave rise to self-derived knowledge; performance suggests that memory integration is dependent on explicit prompts. The findings support nomination of self-derivation through memory integration as a model for accumulation of semantic knowledge and inform the processes involved.  相似文献   
5.
【目的】 对编辑出版学期刊编委交叉任职现象进行分析,识别核心编委并对其特征进行测度,以探析学术期刊编委的选任标准与影响因素。【方法】 以11种编辑出版学期刊352位编委为数据样本,通过社会网络分析方法构建编委关联网络以及编委与期刊隶属网络。【结果】 共有80位编辑出版学期刊编委交叉任职,核心编委的平均任职期刊数量为2.83种,核心编委的点度中心度、中介中心度与其发文量、下载次数和被引频次均呈正相关。【结论】 编辑出版学期刊存在“联锁编委”现象,编委关联网络具有“小世界”特征并符合幂律分布,学术声望和社会资本是影响期刊编委选任的重要因素。  相似文献   
6.
The proposed work aims to explore and compare the potency of syntactic-semantic based linguistic structures in plagiarism detection using natural language processing techniques. The current work explores linguistic features, viz., part of speech tags, chunks and semantic roles in detecting plagiarized fragments and utilizes a combined syntactic-semantic similarity metric, which extracts the semantic concepts from WordNet lexical database. The linguistic information is utilized for effective pre-processing and for availing semantically relevant comparisons. Another major contribution is the analysis of the proposed approach on plagiarism cases of various complexity levels. The impact of plagiarism types and complexity levels, upon the features extracted is analyzed and discussed. Further, unlike the existing systems, which were evaluated on some limited data sets, the proposed approach is evaluated on a larger scale using the plagiarism corpus provided by PAN1 competition from 2009 to 2014. The approach presented considerable improvement in comparison with the top-ranked systems of the respective years. The evaluation and analysis with various cases of plagiarism also reflected the supremacy of deeper linguistic features for identifying manually plagiarized data.  相似文献   
7.
Abstract

This guide to scholarly activities provides early- and mid-career health sciences librarians with a path to immersing in scholarly activities. The four levels walk librarians through increasing stages of scholarship. Early-career librarians will begin at the first level, navigating from discovering mentors and areas of research interest to level two, publishing a resource or book review and finding their first public speaking opportunity. More experienced librarians will find where they are on the path and continue to build their scholarship all the way to conducting and publishing original research and becoming leaders in their field.  相似文献   
8.
郭伟玲 《兰台世界》2020,(4):141-144
唐代秘书省作为中央图籍机构,在前雕版印刷时代承担起部分国家出版职能,主要表现在图书发行、图书复制、出版管理等方面,本文通过梳理秘书省的出版史实,分析唐代国家出版管理观念的主要内容,以唐宋之际出版职能的转移、丰富、提升为落脚点,对比分析唐代秘书省出版职能的历史局限性。  相似文献   
9.
【目的】 探索传统媒体、网络媒体以及自媒体出版形成的融媒体矩阵在扩大科技期刊传播范围方面的具体举措,以提升科技期刊影响力。【方法】 以《遥感学报》“中国遥感20年”纪念特刊的宣传为例,通过融媒体手段创新出版和传播模式,总结实践经验,跟踪分析后期的宣传效果。【结果】 通过融媒体形成线上线下互联互通的传播模式,扩大了阅读群体的辐射范围及传播效应,增强期刊在业内的影响力。【结论】 融媒体技术是提升科技期刊影响力的有效途径。  相似文献   
10.
[目的/意义] 梳理人文社科专著众筹OA出版的发展现状,分析具有公益性特点的OA出版物和具有商业性特点的众筹出版所引起的冲突,以期对学术专著众筹出版提出有价值的思考。[方法/过程] 从发起者、投资者和众筹平台3个基本要素梳理Open Book Publishers和Knowledge Unlatched的众筹模式,比较异同点,探讨两者在竞争中引起的问题。[结果/结论] 目前,欧美国家的学术专著众筹出版分为高校、众筹商和OA出版社3种模式。Knowledge Unlatched是期望通过对图书馆的优质服务获得收益的众筹商,Open Book Publishers是借助网络开展众筹出版的OA出版社,两者属于商业化大型公司和非营利性OA出版社的竞争关系,在OA出版物的商业化开发、财务公开透明、垄断性的销售模式和审核制度方面值得高度关注。  相似文献   
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