发明申请
- 专利标题: METHODS AND SYSTEMS FOR MODELING COMPLEX TAXONOMIES WITH NATURAL LANGUAGE UNDERSTANDING
- 专利标题(中): 用自然语言理解建立复杂的纳税人的方法和系统
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申请号: US14964511申请日: 2015-12-09
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公开(公告)号: US20160162476A1公开(公告)日: 2016-06-09
- 发明人: Robert J. Munro , Schuyler D. Erle , Tyler J. Schnoebelen , Jason Brenier , Jessica D. Long , Brendan D. Callahan , Paul A. Tepper , Edgar Nunez
- 申请人: Robert J. Munro , Schuyler D. Erle , Tyler J. Schnoebelen , Jason Brenier , Jessica D. Long , Brendan D. Callahan , Paul A. Tepper , Edgar Nunez
- 申请人地址: US CA San Francisco
- 专利权人: Idibon, Inc.
- 当前专利权人: Idibon, Inc.
- 当前专利权人地址: US CA San Francisco
- 主分类号: G06F17/28
- IPC分类号: G06F17/28
摘要:
Systems and methods are presented for the automatic placement of rules applied to topics in a logical hierarchy when conducting natural language processing. In some embodiments, a method includes: accessing, at a child node in a logical hierarchy, at least one rule associated with the child node; identifying a percolation criterion associated with a parent node to the child node, said percolation criterion indicating that the at least one rule associated with the child node is to be associated also with the parent node; associating the at least one rule with the parent node such that the at least one rule defines a second factor for determining whether the document is to also be classified into the parent node; accessing the document for natural language processing; and determining whether the document is to be classified into the parent node or the child node based on the at least one rule.
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