Copying human interactions through learning and discovery
    1.
    发明授权
    Copying human interactions through learning and discovery 有权
    通过学习和发现来复制人际交往

    公开(公告)号:US08990126B1

    公开(公告)日:2015-03-24

    申请号:US11462068

    申请日:2006-08-03

    IPC分类号: G06F15/18 G06F17/21

    摘要: A method, system and computer readable medium that generates a dialog model for use in automated dialog is disclosed. The method may include collecting a plurality of task-oriented dialog interactions between users and human agents for a given domain, identifying one or more task in each dialog interaction, identifying one or more subtasks in each identified task and associating relations between the subtasks, identifying a dialog act and a set of predicate-argument relations for each subtask, generating one or more clauses from the set of predicate-argument relations, storing the tasks, subtasks, dialog acts predicate-argument relations, and clauses from each dialog interaction as a dialog interaction set, generating a dialog management model using the stored dialog interaction sets.

    摘要翻译: 公开了一种生成用于自动对话中的对话模型的方法,系统和计算机可读介质。 该方法可以包括针对给定域收集用户和人类代理之间的多个面向任务的对话交互,识别每个对话交互中的一个或多个任务,识别每个被识别的任务中的一个或多个子任务并且关联子任务之间的关系,识别 每个子任务的对话行为和一组谓词 - 参数关系,从一组谓词参数关系生成一个或多个子句,将任务,子任务,对话动作谓词参数关系和每个对话框交互的子句存储为 对话交互集,使用存储的对话交互集生成对话管理模型。

    Automatic learning for mapping spoken/text descriptions of products onto available products
    2.
    发明授权
    Automatic learning for mapping spoken/text descriptions of products onto available products 有权
    自动学习将产品的口语/文字描述映射到可用产品上

    公开(公告)号:US07937301B2

    公开(公告)日:2011-05-03

    申请号:US12632347

    申请日:2009-12-07

    IPC分类号: G07B17/00 G06F17/30 G06Q10/00

    摘要: A method, processing device, and machine-readable medium are provided. Costs of states of a state space are calculated. Each state represent one or more available product attributes having zero or more decided attribute values. The calculating is based, at least in part, on training data associated with previously requested and offered products. Determining a next state such that one or more products are available and a sum of values, including a cost of a next state and a cost of a perturbation of one of the one or more requested product attribute values to reach the next state is a minimum value. A value for a product attribute is mapped according to the minimum sum of values and product attribute values of available products.

    摘要翻译: 提供了一种方法,处理装置和机器可读介质。 计算状态空间的状态成本。 每个状态表示具有零个或多个决定的属性值的一个或多个可用的产品属性。 该计算至少部分地基于与先前请求和提供的产品相关联的训练数据。 确定下一状态,使得一个或多个产品可用,并且包括下一状态的成本和一个或多个所请求的产品属性值中的一个的扰动成本达到下一个状态的值的总和是最小的 值。 产品属性的值根据可用产品的值和产品属性值的最小总和进行映射。

    Automatic learning for mapping spoken/text descriptions of products onto available products
    3.
    发明授权
    Automatic learning for mapping spoken/text descriptions of products onto available products 失效
    自动学习将产品的口语/文字描述映射到可用产品上

    公开(公告)号:US07630917B2

    公开(公告)日:2009-12-08

    申请号:US11279802

    申请日:2006-04-14

    IPC分类号: G06F17/30 G06Q10/00

    摘要: A method, processing device, and machine-readable medium are provided. Costs of states of a state space are calculated. Each state represent one or more available product attributes having zero or more decided attribute values. The calculating is based, at least in part, on training data associated with previously requested and offered products. determining a next state such that one or more products are available and a sum of values, including a cost of a next state and a cost of a perturbation of one of the one or more requested product attribute values to reach the next state is a minimum value. A value for a product attribute is mapped according to the minimum sum of values and product attribute values of available products.

    摘要翻译: 提供了一种方法,处理装置和机器可读介质。 计算状态空间的状态成本。 每个状态表示具有零个或多个决定的属性值的一个或多个可用的产品属性。 该计算至少部分地基于与先前请求和提供的产品相关联的训练数据。 确定下一状态使得一个或多个产品可用,并且包括下一个状态的成本和一个或多个所请求的产品属性值中的一个的扰动成本达到下一个状态的值的总和是最小的 值。 产品属性的值根据可用产品的值和产品属性值的最小总和进行映射。

    Automatic Learning for Mapping Spoken/Text Descriptions of Products onto Available Products
    4.
    发明申请
    Automatic Learning for Mapping Spoken/Text Descriptions of Products onto Available Products 有权
    自动学习将产品的口语/文字描述映射到可用产品上

    公开(公告)号:US20100088160A1

    公开(公告)日:2010-04-08

    申请号:US12632347

    申请日:2009-12-07

    IPC分类号: G06Q10/00

    摘要: A method, processing device, and machine-readable medium are provided. Costs of states of a state space are calculated. Each state represent one or more available product attributes having zero or more decided attribute values. The calculating is based, at least in part, on training data associated with previously requested and offered products. Determining a next state such that one or more products are available and a sum of values, including a cost of a next state and a cost of a perturbation of one of the one or more requested product attribute values to reach the next state is a minimum value. A value for a product attribute is mapped according to the minimum sum of values and product attribute values of available products.

    摘要翻译: 提供了一种方法,处理装置和机器可读介质。 计算状态空间的状态成本。 每个状态表示具有零个或多个决定的属性值的一个或多个可用的产品属性。 该计算至少部分地基于与先前请求和提供的产品相关联的训练数据。 确定下一状态,使得一个或多个产品可用,并且包括下一状态的成本和扰动一个或多个所请求的产品属性值之一以达到下一个状态的值的总和是最小的 值。 根据可用产品的值和产品属性值的最小值,映射产品属性的值。