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GENERATING AN ACRONYM INDEX BY MINING A COLLECTION OF DOCUMENT ARTIFACTS

机译:通过挖掘文档工件的集合来生成一个临时索引

摘要

Embodiments build a knowledge base that includes a list of acronyms and their expansions. The list of acronyms may be associated with a particular organization, e.g. a product team, such that the acronym may have a different meaning to a different organization. In some embodiments, acronyms and their expansions are extracted from artifacts associated with the organization, e.g. documents, emails, attachments, calendar items, etc. Multiple potential definitions identified within the artifacts may be ranked based on contextual data extracted from the artifacts, e.g. who authored the artifact, when was the artifact modified, how often did the author use the acronym, an author's rank in the organization, how long has an author been part of the organization, an author's relationship to other authors, etc. By basing the analysis on artifacts associated with the organization the resulting definitions may be more accurate than if broader resources, such as dictionary definitions, were used.
机译:实施例建立了包括首字母缩写词及其扩展名列表的知识库。首字母缩略词列表可以与特定组织相关联,例如产品团队,因此首字母缩写对不同的组织可能具有不同的含义。在一些实施例中,首字母缩略词及其扩展名是从与组织相关联的人工制品中提取的,例如。可以基于从工件中提取的上下文数据(例如,文档,电子邮件,附件,日历项目等)对工件中标识的多个潜在定义进行排序。作者的作者,工件的修改时间,作者使用首字母缩写词的频率,作者在组织中的排名,作者在组织中担任了多长时间,作者与其他作者的关系等。与组织相关的工件的分析,所得到的定义可能比使用更广泛的资源(例如词典定义)更为准确。

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