Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Text vectorization is a necessary pre-processing process in the fields of text mining, information retrieval, sentiment analysis, etc. It is an urgent problem to make node vectors contain rich and effective semantic and structural information.[Method/process] At first, this paper analyzed the text characteristic of science and technology policy. According to the classification system of the concept and the relationship between the concepts, this paper used BiLSTM-CRF algorithm and SVM respectively to extract index the concepts and their relations automatically. Meanwhile, the model integrated basic characteristics and syntactic semantic features in feature engineering, leading to a boost in recognition accuracy and efficiency. This article also put forward the concept knowledge network combining reasoning knowledge and the knowledge network construction method of furtherly integrating discourse structure.[Result/conclusion] Based on this knowledge network model, this paper implements a network representation learning model that can integrate node semantics, topology structure and category label information. It can fully exploit and represent text semantic and structural information, and through the visualization and experiment to verify the effectiveness of the proposed method.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-28 Cooperative journals: 《中国科学院院刊》
Abstract： National/Public Research Institutes as the national strategic scientific and technological force, play an extremely important role in solving major problems concerning the overall situation and long-term development of the country. Recently, China faces various challenges along with its ambition to achieve a significant breakthrough in core and key technologies. To better exert the important role of national research institutes such as Chinese Academy of Sciences, to address these challenges, in this study, the worldrenowned European public research institution, the Interuniversity Microelectronics Centre (IMEC), was chosen to further investigate and summarize its successful experience and implications in strategic positioning, top-level design and institutional arrangements in the core technologies breakthrough. This study further elaborates how national research institutes contribute to and promote the efficiency of the breakthrough of core technologies by pushing on the institutional design and organizational mechanism innovation, by distinctly clarifying the strategic positioning as the core platform and the strategic tasks in the key general technologies’ breakthrough. Meanwhile, it is also vital for national research institutes to construct modern and scientific management mechanism of relevant intellectual property achievements and promote the development of collaborative innovation based on deep trust.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-28 Cooperative journals: 《中国科学院院刊》
Abstract： Core and key technologies are of great strategic importance to China’s economic and social development and the national security. Breaking through and mastering those technologies which are in the “cut-throat competition” position is of symbolic significance for achieving the goal of becoming a global scientific and technological power. It entails a holistic framework of the frontier layout with strategic plans according to the national strategic demands. According to identified characteristics of core and key technologies, this study systematically reflects on the challenges and bottlenecks faced by the core and key technological breakthroughs. This study also considers how to build innovation system with dynamic and effective mechanisms and paths based on perspectives of organizational models, personnel training mechanism, new evaluation, and incentive mechanism.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-28 Cooperative journals: 《中国科学院院刊》
Abstract： Major original innovation needs to rely on interdisciplinary and deep pioneering research to expand the boundaries of human knowledge. National Research Institutes, as an important national strategic scientific and technological force, bear responsibility and national mission in accelerating the creation of original innovation source, accelerating the breakthrough of key core technologies, and striving to seize the commanding heights of science and technology.In this study, through in-depth analysis of the forwardlooking strategic positioning, clear top-level design, and efficient research mechanism and organization mode in the New Generation Lithography system breakthrough project, which was organized by the National Laboratory of the United States in the 1990s, we further provide insights for the national strategic scientific and technological force to efficiently promote the major original innovation in China, and to facilitate the major original innovation integration breakthrough of new scientific discovery, new technological trajectory and new industrial direction at the strategic frontier.
Subjects: Library Science，Information Science >> Information Science submitted time 2017-11-08 Cooperative journals: 《数据分析与知识发现》
Abstract：【目的】在食品安全领域中, 建立相关数据库对食品安全的监管和控制都会有很大的帮助, 自动分词在构建索引、使用索引以及构建语料库中都起到至关重要的作用。将基于条件随机场的字标注统计学习方法, 应用在食品安全突发事件语料的自动分词中。【方法】分析语料的词长分布等特点, 对该方法自动分词过程中所涉及的特征选择和特征模板进行不同实验, 得出不同特征选择和应用不同特征模板对分词结果的影响。【结果】从实验结果可以看出, 特征选择时并不是特征越多分词效果越好, 会出现特征干扰的情况, 在二三字词占46.62%的食品安全突发事件语料中, 特征模板中的当前字和前后驱第一个字所代表的特征模板对分词效果影响明显。【结论】通过对不同特征选择和特征模板及其相互组合的实验, 选择出在本文研究的语料库自动分词中最优的特征和特征模板, 在5Tag 特征标记下配合对应特征模板对目标语料分词的F 值达到92.88%。
Subjects: Library Science，Information Science >> Information Science submitted time 2017-11-08 Cooperative journals: 《数据分析与知识发现》
Abstract：【目的】在食品安全领域中, 建立相关数据库对食品安全的监管和控制都会有很大的帮助, 自动分词在构建索引、使用索引以及构建语料库中都起到至关重要的作用。将基于条件随机场的字标注统计学习方法, 应用在食品安全突发事件语料的自动分词中。【方法】分析语料的词长分布等特点, 对该方法自动分词过程中所涉及的特征选择和特征模板进行不同实验, 得出不同特征选择和应用不同特征模板对分词结果的影响。【结果】从实验结果可以看出, 特征选择时并不是特征越多分词效果越好, 会出现特征干扰的情况, 在二三字词占46.62%的食品安全突发事件语料中, 特征模板中的当前字和前后驱第一个字所代表的特征模板对分词效果影响明显。【结论】通过对不同特征选择和特征模板及其相互组合的实验, 选择出在本文研究的语料库自动分词中最优的特征和特征模板, 在5Tag 特征标记下配合对应特征模板对目标语料分词的F 值达到92.88%。
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