论文标题
部分可观测时空混沌系统的无模型预测
Retrieval of Scientific and Technological Resources for Experts and Scholars
论文作者
论文摘要
高等教育，研究机构和其他科学研究单位的机构具有专家和学者的丰富科学和技术资源，这些具有伟大科学和技术创新能力的才华是促进工业升级的重要力量。专家和学者的科学和技术资源主要由基本属性和科学研究成就组成。基本属性包括研究兴趣，机构和教育工作经验等信息。但是，由于信息不对称和其他原因，专家和学者的科学和技术资源不能及时与社会联系在一起，社会需求不能与专家和学者完全匹配。因此，非常有必要建立专家和学者信息数据库，并提供相关的专家和学者检索服务。本文从四个方面中分解了该领域的相关研究工作：文本关系提取，文本知识表示学习，文本矢量检索和可视化系统。
Institutions of higher learning, research institutes and other scientific research units have abundant scientific and technological resources of experts and scholars, and these talents with great scientific and technological innovation ability are an important force to promote industrial upgrading. The scientific and technological resources of experts and scholars are mainly composed of basic attributes and scientific research achievements. The basic attributes include information such as research interests, institutions, and educational work experience. However, due to information asymmetry and other reasons, the scientific and technological resources of experts and scholars cannot be connected with the society in a timely manner, and social needs cannot be accurately matched with experts and scholars. Therefore, it is very necessary to build an expert and scholar information database and provide relevant expert and scholar retrieval services. This paper sorts out the related research work in this field from four aspects: text relation extraction, text knowledge representation learning, text vector retrieval and visualization system.
