TEXT PREPARATION APPARATUS
    1.
    发明申请

    公开(公告)号:US20180232342A1

    公开(公告)日:2018-08-16

    申请号:US15895182

    申请日:2018-02-13

    Applicant: Hitachi, Ltd.

    Abstract: A text preparation apparatus is configured to in the decoding processing: perform first-layer recurrent neural network processing for phrase types to be used in the text and second-layer recurrent neural network processing for words appropriate for each of the phrase types; determine a phrase appropriate for each of the phrase types based on outputs of the second-layer recurrent neural network processing; generate a first vector set from a state vector of a previous step in the first-layer recurrent neural network processing and the feature vector sets, each vector of the first vector set being generated based on similarity degrees between individual vectors in one of the feature vector sets and the state vector; generate a second vector based on similarity degrees between individual vectors in the first vector set and the state vector; and input the second vector to a given step in the first-layer recurrent neural network processing.

    INFORMATION ANALYSIS SYSTEM
    2.
    发明申请
    INFORMATION ANALYSIS SYSTEM 有权
    信息分析系统

    公开(公告)号:US20170075872A1

    公开(公告)日:2017-03-16

    申请号:US14855517

    申请日:2015-09-16

    Applicant: Hitachi, Ltd.

    CPC classification number: G06F17/2765 E21B47/00

    Abstract: The problem solved by this invention is to convert text information in a geology report to numerical values which reflects geological characteristics of a well's subsurface. Prior art referred above cannot be applicable to this problem. Since text information in the geology report is in the natural language form. This information is not widely used in this industry, due to the fact that the text information can be hardly extracted and summarized into numerical values and integrated into current physical geology models or statistical models. This invention makes the text information in geology report, which is often in a natural language form, easier to be integrated into current geology physical models or statistical models. Also, the numerical values extracted from the geology report can be integrated with other kinds of data, such as seismic data and well-logging data, to obtain more accurate and comprehensive analysis results.

    Abstract translation: 本发明解决的问题是将地质学报告中的文本信息转换为反映井底地质特征的数值。 上述现有技术不能适用于该问题。 由于地质报告中的文本信息是自然语言形式。 这个信息在这个行业中没有被广泛使用,因为文本信息几乎不能被提取和总结成数值并被整合到当前的物理地质学模型或统计模型中。 本发明使得经常以自然语言形式的地质学报告中的文本信息更容易被纳入当前的地质物理模型或统计模型中。 此外,从地质报告中提取的数值可以与其他类型的数据(如地震数据和测井数据)相结合,以获得更准确,更全面的分析结果。

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