公开(公告)号：US20140172820A1

公开(公告)日：2014-06-19

申请号：US14186826

申请日：2014-02-21

Applicant: Yahoo! Inc.

Inventor： KUNAL PUNERA ,  DEEPAYAN CHAKRABARTI

IPC: G06F17/30

CPC classification number: G06F17/30864 ,  G06N7/005

Abstract: A method and apparatus for receiving training data that comprise a plurality of event-and-time-specific texts that are contextually related to a plurality of events; iteratively processing the training data to generate a modified network model that defines a plurality of states; receiving additional data that comprise a plurality of additional event-and-time-specific texts that are contextually related to a particular event; processing the additional data by applying the modified network model to the additional data to identify, within the plurality of additional event-and-time specific texts, a particular set of texts that belong to a particular state of the plurality of states; identifying, within the particular set of texts, one or more texts that are most representative of all texts in the particular set of texts that belong to the particular state; wherein the method is performed by one or more special-purpose computing devices.

Abstract translation: 一种用于接收训练数据的方法和装置，所述培训数据包括与多个事件相关的多个事件和时间专用文本; 迭代地处理训练数据以生成定义多个状态的修改的网络模型; 接收包括与特定事件上下文相关的多个附加事件和时间特定文本的附加数据; 通过将修改的网络模型应用于附加数据来处理附加数据，以在多个附加事件和时间特定文本内识别属于多个状态的特定状态的特定文本集合; 在特定文本集中确定一个或多个文本，其最具代表属于特定国家的特定文本集中的所有文本; 其中所述方法由一个或多个专用计算设备执行。