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    • 1. 发明申请
    • SYSTEM AND METHOD FOR AUTOMATICALLY GENERATING SYSTEMATIC REVIEWS OF A SCIENTIFIC FIELD
    • 用于自动生成科学系统系统评估的系统和方法
    • US20110295903A1
    • 2011-12-01
    • US13117508
    • 2011-05-27
    • Chaomei Chen
    • Chaomei Chen
    • G06F17/30
    • G06F17/30598G06F17/30734
    • A system and method are provided for automatically generating systematic reviews of received information in a field of science and technology, such as scientific literature, where the systematic review includes a systematic review of a research field in the scientific literature. The method is preferably implemented by a programmed computer and includes the steps of constructing a time series networks of words, passages, documents, and citations and/or co-citations within received information into a synthesized network, decomposing the networks into clusters of fields or topics, performing part-of-speech tagging of text within the received information to provide tagged text, constructing semantic structures of concepts and/or assertions extracted from the source text, generating citation-based and content-based summaries of the clusters of fields or topics and the semantic structures including measuring the saliency, novelty, significance, and transformative features of individual entities in the clusters of fields or topics and semantic structures, and generating structured narratives of the clusters of fields or topics and the summaries of the generated semantic structures, including labeling and summarizing features of the clusters of fields or topics and delinearizing the resulting clusters into templates that provide summarizations of the structure and trends of the information in the clusters at multiple levels of abstraction. Narratives of the citation-based and content-based summaries are merged into a systematic review having a predetermined arrangement.
    • 提供了一种系统和方法,用于自动生成科学技术领域的接收信息的系统评价,如科学文献,系统评价包括对科学文献研究领域的系统评价。 该方法优选地由编程的计算机实现,并且包括以下步骤:在接收到的信息内将单词,段落,文档,引用和/或共同引用的时间序列网络构建到合成网络中,将网络分解成集群的字段或 主题,在所接收的信息中执行文本的词性标注以提供标记的文本,构建从源文本提取的概念和/或断言的语义结构,生成基于引用和基于内容的字段集合的摘要,或者 主题和语义结构,包括测量各个实体在领域或主题和语义结构中的显着性,新颖性,重要性和变革特征,以及生成领域或主题集群的结构化叙述以及生成的语义结构的总结 ,包括标记和总结领域或主题集合的特征和de 将所得到的集群线性化成模板,以提供集群中多层次抽象信息的结构和趋势的总结。 基于引用和内容的摘要的叙述被合并为具有预定安排的系统评价。
    • 2. 发明授权
    • System and method for automatically generating systematic reviews of a scientific field
    • 自动生成科学领域系统评价的系统和方法
    • US08566360B2
    • 2013-10-22
    • US13117508
    • 2011-05-27
    • Chaomei Chen
    • Chaomei Chen
    • G06F17/30
    • G06F17/30598G06F17/30734
    • A system and method are provided for automatically generating systematic reviews of received information in a field of science and technology, such as scientific literature, where the systematic review includes a systematic review of a research field in the scientific literature. The method is preferably implemented by a programmed computer and includes the steps of constructing a time series networks of words, passages, documents, and citations and/or co-citations within received information into a synthesized network, decomposing the networks into clusters of fields or topics, performing part-of-speech tagging of text within the received information to provide tagged text, constructing semantic structures of concepts and/or assertions extracted from the source text, generating citation-based and content-based summaries of the clusters of fields or topics and the semantic structures including measuring the saliency, novelty, significance, and transformative features of individual entities in the clusters of fields or topics and semantic structures, and generating structured narratives of the clusters of fields or topics and the summaries of the generated semantic structures, including labeling and summarizing features of the clusters of fields or topics and delinearizing the resulting clusters into templates that provide summarizations of the structure and trends of the information in the clusters at multiple levels of abstraction. Narratives of the citation-based and content-based summaries are merged into a systematic review having a predetermined arrangement.
    • 提供了一种系统和方法,用于自动生成科学技术领域的接收信息的系统评价,如科学文献,系统评价包括对科学文献研究领域的系统评价。 该方法优选地由编程的计算机实现,并且包括以下步骤:在接收到的信息内将单词,段落,文档,引用和/或共同引用的时间序列网络构建到合成网络中,将网络分解成集群的字段或 主题,在所接收的信息中执行文本的词性标注以提供标记的文本,构建从源文本提取的概念和/或断言的语义结构,生成基于引用和基于内容的字段集合的摘要,或者 主题和语义结构,包括测量各个实体在领域或主题和语义结构中的显着性,新颖性,重要性和变革特征,以及生成领域或主题集群的结构化叙述以及生成的语义结构的总结 ,包括标记和总结领域或主题集合的特征和de 将所得到的集群线性化成模板,以提供集群中多层次抽象信息的结构和趋势的总结。 基于引用和内容的摘要的叙述被合并为具有预定安排的系统评价。