发明授权
- 专利标题: Methods and systems for modeling complex taxonomies with natural language understanding
- 专利标题(中): 用自然语言理解建模复杂分类法的方法和系统
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申请号: US14964511申请日: 2015-12-09
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公开(公告)号: US09495345B2公开(公告)日: 2016-11-15
- 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
- 代理机构: K&L Gates LLP
- 代理商 Jordan A. Kwan
- 主分类号: G06F17/27
- IPC分类号: G06F17/27 ; G06F17/21 ; G06F17/24 ; G06F17/28 ; G06F17/22 ; G06F3/0482 ; G06F17/30
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.