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    • 1. 发明授权
    • Method for learning and combining global and local regularities for information extraction and classification
    • 用于学习和整合信息提取和分类的全局和局部规律的方法
    • US06892189B2
    • 2005-05-10
    • US09771008
    • 2001-01-26
    • Dallan W. QuassTom M. MitchellAndrew K. McCallumWilliam Cohen
    • Dallan W. QuassTom M. MitchellAndrew K. McCallumWilliam Cohen
    • G06F15/18G06F17/30G06F7/00
    • G06N99/005G06F17/30893G06F2216/09
    • A method is provided for information extraction and classification which combines aspects of local regularities formulation with global regularities formulation. A candidate subset is identified. Then tentative labels are created so they can be associated with elements in the subset that have the global regularities, and the initial tentative labels are attached onto the identified elements of the candidate subset. The attached tentative labels are employed to formulate or “learn” initial local regularities. Further tentative labels are created so they can be associated with elements in the subset that have a combination of global and local regularities, and the further tentative labels are attached onto the identified elements of the candidate subset. Each new dataset is processed with reference to an increasingly-refined set of global regularities, and the output data with their associated confidence labels can be readily evaluated as to import and relevance.
    • 提供了一种信息提取和分类方法,该方法将局部规则制定的各个方面与全球规律性制定相结合。 识别候选子集。 然后创建临时标签,使得它们可以与具有全局规则性的子集中的元素相关联,并且初始临时标签附加到候选子集的所标识的元素上。 附带的临时标签用于制定或“学习”初始地方规律。 创建进一步的临时标签,使得它们可以与具有全局和局部规则的组合的子集中的元素相关联,并且另外的临时标签被附加到候选子集的所标识的元素上。 每个新的数据集都参照越来越精细的全局规律集进行处理,输出数据及其关联的置信标签可以很容易地被评估为导入和相关性。