METHOD AND APPARATUS FOR NAMED ENTITY RECOGNITION, AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM

    公开(公告)号:US20230394240A1

    公开(公告)日:2023-12-07

    申请号:US18326292

    申请日:2023-05-31

    IPC分类号: G06F40/295 G06F40/40

    CPC分类号: G06F40/295 G06F40/40

    摘要: A method and an apparatus for named entity recognition, and a non-transitory computer-readable recording medium are provided. In the method, text elements are traversed according to a text span to obtain candidate entity words. Then, a class to which the candidate entity word belongs is recognized. The recognizing of the class includes generating a prompt template corresponding to the candidate entity word, and concatenating the text to be recognized and the prompt template to obtain a concatenated text; generating vector representations of the text elements in the concatenated text; generating the vector representation of the candidate entity word according to the vector representations of the text elements of each candidate entity word in the concatenated text, and the vector representation of the text element of the mask word; and classifying the vector representation of the candidate entity word to obtain the class of the candidate entity word.

    Method and apparatus for recognizing intention, and non-transitory computer-readable recording medium

    公开(公告)号:US11507854B2

    公开(公告)日:2022-11-22

    申请号:US16739311

    申请日:2020-01-10

    摘要: A method and an apparatus for recognizing an intention, and a non-transitory computer-readable recording medium are provided. The method includes learning vectors of knowledge base elements in corpus samples, and converting the corpus samples into row vectors composed of the vectors of the knowledge base elements in a knowledge base; extracting feature vectors from respective pooling windows in the corpus samples by hierarchical pooling, determining weights positively correlated with similarities between texts within the respective pooling windows and the respective corpus samples, performing weighting on the extracted feature vectors to obtain feature vectors of the respective pooling windows, and obtaining feature vectors of the respective corpus samples composed of the feature vectors of the pooling windows; training a vector-based intention recognition classifier, based on the feature vectors of the corpus samples; and recognizing an intention in querying a corpus, using the trained intention recognition classifier.

    USER BEHAVIOR ANALYSIS METHOD AND DEVICE AS WELL AS NON-TRANSITORY COMPUTER-READABLE MEDIUM

    公开(公告)号:US20180047036A1

    公开(公告)日:2018-02-15

    申请号:US15658534

    申请日:2017-07-25

    IPC分类号: G06Q30/02 G06Q30/06 G06N5/02

    摘要: User behavior analysis method and device are disclosed. The method comprises: obtaining a behavior record of users regarding commodities; acquiring, by determining a commodity feature vector in a predetermined commodity feature space of each of the commodities, a commodity feature matrix consisting of the commodity feature vectors of the commodities; for each of the users, calculating, based on a sub behavior record of the corresponding user regarding each of the commodities, a preference score of the corresponding user regarding each of the commodities, so as to get a score matrix composed of the preference scores of the users regarding the commodities; and for each of the users, determining, based on a regularized least squares based solution of a difference function of the score matrix and a prediction matrix, a user feature vector of the corresponding user in its related predetermined commodity feature space.

    Hybrid integrated wind-solar-diesel-city power supply system
    9.
    发明授权
    Hybrid integrated wind-solar-diesel-city power supply system 有权
    混合式综合风 - 太阳能 - 柴油城市供电系统

    公开(公告)号:US09130387B2

    公开(公告)日:2015-09-08

    申请号:US13520108

    申请日:2011-05-27

    摘要: The invention relates to a hybrid integrated wind-solar-diesel-city power supply system, which comprises at least one subsystem selected from wind power subsystems or solar power subsystems and at least one diesel-city power subsystem, a direct-current bus unit, a main control unit, multiple high frequency rectifiers and a direct-current distribution unit. Each one subsystem has a DC output coupled to said direct-current bus unit for afflux. Said main control unit is configured to select a set of subsystems from the wind and solar power subsystems and enable the selected set of subsystems but disable others, so as to let a sum of maximum power output of all enabled subsystems to be larger than or equal to power demanded while minimize the number of the enabled subsystems contained in the selected set of the subsystems, and adjust operation of the selected subsystems so as to optimize the system efficiency, and also configured to control current and voltage output of said high frequency rectifier according to the operation status of said direct-current distribution unit and the voltage and current output of said direct-current bus unit, thereby advantageously increasing efficiency and reducing the power consumption of the system, and thus also improve reliability and life of the system apparatus.

    摘要翻译: 本发明涉及一种混合式综合风力 - 太阳能 - 柴油城市供电系统,其包括至少一个选自风力发电子系统或太阳能发电子系统的子系统和至少一个柴油城市电力子系统,直流总线单元, 主控单元,多个高频整流器和直流分配单元。 每个子系统具有耦合到所述直流总线单元的直流输出用于流淌。 所述主控制单元被配置为从风和太阳能发电子系统中选择一组子系统,并启用所选择的一组子系统,但禁用其他子系统,以使所有启用的子系统的最大功率输出的总和大于或等于 在所选择的一组子系统中包含的启用子系统的数量最小化的同时,对所需的功率进行最小化,并且调整所选择的子系统的操作,以便优化系统效率,并且还被配置为根据所述子系统的电流和电压输出来控制所述高频整流器的电流和电压输出 涉及所述直流分配单元的运行状态和所述直流总线单元的电压和电流输出,由此有利地提高了系统的效率并降低了功率消耗,从而也提高了系统设备的可靠性和寿命。

    Method for controlling well bore pressure based on model prediction control theory and systems theory
    10.
    发明申请
    Method for controlling well bore pressure based on model prediction control theory and systems theory 有权
    基于模型预测控制理论和系统理论的井筒压力控制方法

    公开(公告)号:US20140262246A1

    公开(公告)日:2014-09-18

    申请号:US14351573

    申请日:2011-11-04

    IPC分类号: E21B41/00 E21B47/10

    摘要: A method for controlling well bore pressure based on model prediction control theory and systems theory, which belongs to the field of well bore pressure control technique, includes: detecting a well bottom pressure, a stand pipe pressure, a casing pressure, an injection flow rate and an outlet flow rate during construction process, and determining the presence of overflow or leakage; if there is no overflow or leakage, then fine-adjusting the wellhead casing pressure according to the slight fluctuations of the well bottom pressure, the stand pipe pressure or the casing pressure, ensuring that the well bottom pressure, the stand pipe pressure or the casing pressure are at a set value; if there is overflow or leakage, then using a well bore multi-phase flow dynamic model to simulate and calculate the overflow or leakage position and starting time of the overflow or leakage, predicting the variation over a future time period of the well bore pressure in the well drilling process, and utilizing an optimization algorithm to calculate the control parameter under a minimum of an actual well bottom pressure difference during the future period; and repeating the optimization process for the next time period after a first control parameter is selected and set. The present method enables the well bore pressure to be controlled within the allowable fluctuation range of a project, thus achieving precise pressure control.

    摘要翻译: 基于井眼压力控制技术领域的模型预测控制理论和系统理论,控制井筒压力的方法包括:检测井底压力,立管压力,套管压力,喷射流量 和施工过程中的出口流量,并确定溢出或泄漏的存在; 如果没有溢出或泄漏,则根据井底压力,立管压力或套管压力的轻微波动来微调井口套管压力,确保井底压力,立管压力或套管 压力处于设定值; 如果有溢流或泄漏,则使用井筒多相流动力学模型来模拟和计算溢流或泄漏位置以及溢流或泄漏的开始时间,预测未来时间段内井筒压力的变化 钻井过程,并利用优化算法在未来期间在最小实际井底压力差下计算控制参数; 并且在选择和设置第一控制参数之后,重复下一时间段的优化处理。 本方法能够将井筒压力控制在工程的容许波动范围内,从而实现精确的压力控制。