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    • 1. 发明授权
    • Entity recognition
    • 实体识别
    • US08838439B2
    • 2014-09-16
    • US13156622
    • 2011-06-09
    • Jonathan D. ButtersFabio CiravegnaColin CadasAndrew Harrison
    • Jonathan D. ButtersFabio CiravegnaColin CadasAndrew Harrison
    • G06F17/20G06F17/27G06F17/30
    • G06F17/278G06F17/30672
    • The invention relates to a method of querying technical domains that recognizes the concepts represented by strings of characters, rather than merely comparing strings. It can be used to compute conceptual similarity between terms, The method employs string distance metrics and a cyclic progression of lexical processing to recognize constituent term concepts that are then combined to form full-term concepts by means of a grammar. Terms can be extracted and identified as being conceptually similar (or dissimilar) to other terms even if they have never previously been encountered. A key advantage is the ability to extract terms from documents based on the combination of a limited number of sub-concepts, This avoids the need for the prior identification of all possible terms that current methods require. A second key advantage is the ability to introduce or remove concepts and synonyms individually without the need to alter terms which the concept or synonym constitutes.
    • 本发明涉及一种查询识别由字符串表示的概念的技术领域的方法,而不是仅仅比较字符串。 它可以用于计算术语之间的概念相似度。该方法使用字符串距离度量和词法处理的循环进程来识别组合术语概念,然后通过语法组合以形成全文概念。 术语可以被提取并被识别为在概念上与其他术语相似(或不相似),即使它们从未曾遇到过。 一个关键的优点是能够根据有限数量的子概念的组合从文档中提取术语。这避免了对当前方法所需的所有可能术语的先前识别的需要。 第二个关键优点是能够单独引入或删除概念和同义词,而无需改变概念或同义词构成的术语。