发明申请
- 专利标题: METHODS AND SYSTEMS FOR IMPROVING MACHINE LEARNING PERFORMANCE
- 专利标题(中): 改进机器学习性能的方法和系统
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申请号: US14964510申请日: 2015-12-09
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公开(公告)号: US20160162569A1公开(公告)日: 2016-06-09
- 发明人: Schuyler D. Erle , Robert J. Munro , Brendan D. Callahan , Jason Brenier , Paul A. Tepper , Jessica D. Long , James B. Robinson , Aneesh Nair , Michelle Casbon , Stefan Krawczyk
- 申请人: Schuyler D. Erle , Robert J. Munro , Brendan D. Callahan , Jason Brenier , Paul A. Tepper , Jessica D. Long , James B. Robinson , Aneesh Nair , Michelle Casbon , Stefan Krawczyk
- 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: G06F17/30
- IPC分类号: G06F17/30 ; G06F17/27 ; G06F17/24
摘要:
Systems and methods are presented for providing improved machine performance in natural language processing. In some example embodiments, an API module is presented that is configured to drive processing of a system architecture for natural language processing. Aspects of the present disclosure allow for a natural language model to classify documents while other documents are being retrieved in real time. The natural language model and the documents are configured to be stored in a stateless format, which also allows for additional functions to be performed on the documents while the natural language model is used to continue classifying other documents.