- 专利标题: Weather-based natural language text processing
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申请号: US15607694申请日: 2017-05-30
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公开(公告)号: US10558695B2公开(公告)日: 2020-02-11
- 发明人: Shilpi Ahuja , Sheng Hua Bao , Rashmi Gangadharaiah
- 申请人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 申请人地址: US NY Armonk
- 专利权人: International Business Machines Corporation
- 当前专利权人: International Business Machines Corporation
- 当前专利权人地址: US NY Armonk
- 代理商 Jordan T. Schiller
- 主分类号: G06F17/27
- IPC分类号: G06F17/27 ; G06F16/34 ; G06F19/00
摘要:
Relationship extraction between descriptors in one or more lists of weather condition descriptors, and adverse event descriptors within unstructured data sources using natural language processing. Medical condition descriptor may be a descriptor that may be used to further extract relationships between weather condition descriptors and adverse event descriptors. A data object is generated, according to a data model, based on the extracted relationships between the descriptors. A set of candidate unstructured documents containing the extracted relationship between the descriptors is retrieved and filtered by selecting unstructured documents that include a precautionary measure descriptor. The filtered precautionary measure descriptors are presented to a user in a summarized message to a user device.
公开/授权文献
- US20180349326A1 WEATHER-BASED NATURAL LANGUAGE TEXT PROCESSING 公开/授权日:2018-12-06
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